awesome-network-analysis
A curated list of awesome network analysis resources.
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Linked from 7 awesome lists
awesomeawesome-listcomplex-networksdisease-networksgraph-theoryhistorical-networkslistnetwork-analysisnetwork-sciencenetwork-visualizationpolitical-networkssemantic-networkssnasocial-network-analysissocial-networks
Awesome Network Analysis / Books / Dissemination | |||
paper | , by the NetSciEd team (c. 2016) - Available in several languages ( ) | ||
Awesome Network Analysis / Books / General Overviews | |||
Readable online | , by Laurent Beauguitte, in French (2023). | ||
on GitHub | 357 | 11 months ago | , by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces (2020) |
review | , by David Easley and Jon Kleinberg - Full pre-publication draft ( ; 2010) | ||
related material | , by Jeroen Bruggeman ( ; 2008) | ||
Awesome Network Analysis / Books / Method-specific | |||
website | , by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ( ; 2013) | ||
website | , by Marco Scutari and Jean-Baptiste Denis ( ; 2014) | ||
chapter proofs | , edited by Roberto Tamassia ( ; 2013) | ||
review in French | , edited by Carl Knappett (2013; ) | ||
Awesome Network Analysis / Books / Software-specific | |||
in Japanese | , by Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj (2011; also and ) | ||
code | 242 | almost 12 years ago | (using Python), by Maksim Tsvetovat and Alexander Kouznetsov ( ; 2011) |
R package | 293 | over 4 years ago | , by Eric D. Kolaczyk and Gabor Csárdi ( ; 2014) |
Awesome Network Analysis / Books / Topic-specific | |||
companion website | edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; ) | ||
follow-up paper, 2011 | , by Linton C. Freeman, in English and several other languages (2004; ) | ||
related publications | , by Marten Düring, in German (2015; and ) | ||
Awesome Network Analysis / Conferences | |||
ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining | |||
Awesome Network Analysis / Conferences / ASONAM - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining | |||
SNAA - Workshop on Social Network Analysis in Applications | |||
Awesome Network Analysis / Conferences | |||
CNDay - Cambridge Networks Day | Convened by the Cambridge Networks Network | ||
CompleNet - International Workshop on Complex Networks | |||
EUSN - European Conference on Social Networks | |||
GD - International Symposium on Graph Drawing and Network Visualization | |||
PolNet - Annual Political Networks Workshops and Conference | Organized by the APSA Organized Section on Political Networks (PolNet) | ||
Awesome Network Analysis / Conferences / PolNet - Annual Political Networks Workshops and Conference | |||
Videos from the Political Networks 2009 Conference | |||
Awesome Network Analysis / Conferences | |||
NetSci - International School and Conference on Social Networks | Organized by the Network Science Society (NetSci) | ||
Awesome Network Analysis / Conferences / NetSci - International School and Conference on Social Networks | |||
Large-scale Structures in Networks: Hidden Communities and Latent Hierarchies | Talk by at NetSci 2019 | ||
Awesome Network Analysis / Conferences | |||
Sunbelt - Social Networks Conference of the International Network for Social Network Analysis | Organized by the International Network for Social Network Analysis (INSNA) | ||
Awesome Network Analysis / Courses | |||
Complex Networks | , by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022) | ||
Awesome Network Analysis / Courses / Complex Networks | |||
Network Science CheatSheets | 20 | over 1 year ago | |
Awesome Network Analysis / Courses | |||
Complex Networks | , by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: ) | ||
Awesome Network Analysis / Courses / Complex Networks | |||
Tarot Cards for Principles of Complex Systems and Complex Networks | |||
Awesome Network Analysis / Courses | |||
Graph Theory and Applications | , by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009) | ||
Graph Theory (Mathematics) | , by Christopher Griffin - Full lecture notes (Penn State University, 2012) | ||
Graphs and Networks | , by Dan Spielman (Yale University, 2013) | ||
Network Analysis and Modeling (Computer Science) | , by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022) | ||
Networks, Complexity and Its Applications (Media Arts and Sciences) | , by Cesar Hidalgo (MIT, 2011) | ||
Networks, Crowds and Markets | , by David Easley, Jon Kleinberg and Eva Tardos ( ; Cornell University via edX, 2016) | ||
Networks (Economics) | , by Mardavij Roozbehani and Evan Sadler (MIT, 2018) | ||
Awesome Network Analysis / Courses / Networks (Economics) | |||
Networks (Economics) | , by Daron Acemoglu and Asu Ozdaglar (MIT, 2009) | ||
Awesome Network Analysis / Courses | |||
Network Science (Computer Science) | , by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015) | ||
Political Networks: Methods and Applications | , by Zeev Maoz (University of California in Davis, 2012) | ||
Social and Economic Networks: Models and Analysis | , by Matthew O. Jackson (Stanford University via Coursera, 2015) | ||
Social Network Analysis | , by Lada Adamic (University of Michigan via Coursera, not yet run) | ||
Social Network Analysis | and , by Matthew J. Denny - Workshop notes and slides (2014–5) | ||
Social Network Analysis with Pajek | , by Andrej Mrvar (University of Ljubljana, 2016) | ||
Social Networks | , by Dennis M. Feehan (University of Berkeley, 2017) | ||
The Structure of Information Networks | , by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008) | ||
Awesome Network Analysis / Datasets | |||
Animal Social Network Repository | Large “ .” | ||
Bayesian Network Repository | |||
Bill Cosponsorship Networks in European Parliaments | 17 | over 7 years ago | Legislative cosponsorship networks, in R format |
Colorado Index of Complex Networks (ICON) | Large collection of networks described and indexed by Aaron Clauset’s research group | ||
Connectome | Comprehensive maps of neural connections | ||
Enron Email Dataset | |||
Eric D. Kolaczyk’s Network Datasets | |||
Gephi Datasets | 5,880 | about 1 month ago | |
Hetionet: an integrative network of disease | 258 | over 1 year ago | A complex biological network, available in multiple formats, including JSON and |
igraphdata | R data-centric package | ||
igraphwalshdata | Another R data-centric package | ||
Interaction Web Database | Ecological species interactions | ||
International Currencies 1890-1910 | Historical data on the international connections between 45 currencies | ||
KONECT - The Koblenz Network Collection | Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ( ) | ||
Linton Freeman’s Network Data | Over 300 datasets of all sorts, in UCINET format | ||
Mangal | Online platform to analyze, archive and share ecological network data ( , , ) | ||
Manlio De Domenico’s Complex Multilayer Networks | |||
Mark E.J. Newman’s Network Data | ( ) | ||
Network Repository | Fully searchable database containing hundreds of real-world networks | ||
Network Science Book - Network Datasets | Network data sets from Albert-László Barabási’s book. Includes data on IMDB actors, arXiv scientific collaboration, network of routers, the US power grid, protein-protein interactions, cell phone users, citation networks, metabolic reactions, e-mail networks, and nd.edu Web pages | ||
Norwegian Interlocking Directorate, 2002-2011 | Two-mode and one-mode data on gender representation in Norwegian firms | ||
Movie galaxies | A database of movie characters interaction graphs | ||
Pajek Datasets | |||
Philosophers Networks from Randall Collins’s The Sociology of Philosophies | |||
Siena Datasets | |||
SocioPatterns Datasets | Network data obtained through the sensing platform | ||
Stanford Large Network Dataset Collection | |||
State Networks | US state-to-state relational variables, including borders, travel, trade and more | ||
tnet Datasets | Weighted network data | ||
UC Berkeley Social Networks Study (UCNets) | Ego-centric data (personal networks) from a five-year panel study | ||
UCI Network Data Repository | |||
UCINET Datasets | Network data in UCINET format | ||
Awesome Network Analysis / Journals | |||
GDR ARSHS | , in English and in French ( ) | ||
@ConnectionsSNA | (INSNA). Twitter: | ||
Older archives | (INSNA). | ||
Awesome Network Analysis / Professional Groups | |||
AFS RT 26 “Réseaux sociaux” | Thematic Network of the French Sociological Association (AFS), in French ( ) | ||
APSA Political Networks | Organized Section of the American Political Science Association (APSA). Twitter: | ||
ECPR Political Networks SG | Standing Group of the European Consortium for Political Research. Twitter: | ||
GDR ARSHS - GDR Analyse de réseaux en sciences humaines et sociales | , in French - Research group based in Paris | ||
Groupe FMR - Flux, Matrices, Réseaux | , in French. Twitter: | ||
INSNA - International Network for Social Network Analysis | ( ). Twitter: | ||
Mathematical Sociology Section of the American Sociological Association (ASA) | . Twitter: | ||
NetSci - Network Science Society | . Twitter: | ||
Society of Young Network Scientists (SYNS) | . Supports early-career network scientists. Twitter: | ||
Awesome Network Analysis / Professional Groups / Research Groups (USA) | |||
Annenberg Networks Network (ANN) | Research group studying social networks at the University of Southern California | ||
Center for Applied Network Analysis (CANA) | Research group based at the University of Southern California School of Medicine | ||
Channing Division of Network Medicine | Research division within the Department of Medicine at Brigham and Women’s Hospital | ||
Complex Human Networks Reading Group (CoHN) | Reading list from a seminar held at MIT in 2001–2 | ||
Duke Network Analysis Center | |||
Interdependence in Governance and Policy Research Group | Led by Bruce A. Desmarais at Penn State University | ||
Indiana University Network Science Institute (IUNI) | |||
Interdisciplinary Center for Network Science and Applications (iCeNSA) at the University of Notre Dame | |||
LINKS Center for Social Network Analysis at the Gatton College of Business and Economics, University of Kentucky | |||
NetSCI Lab at the Rutgers School of Communication and Information | |||
Network Dynamics Group at the Annenberg School for Communication, University of Pennsylvania | . Twitter: | ||
Network Interdependence in Social Systems | (NISS Lab) - Led by Skyler J. Cranmer at Ohio State University | ||
Network Science Center at the U.S. Military Academy (USMA) in West Point | ( ) | ||
Network Science IGERT at the University of California at Santa Barbara (UCSB) | Features an graduate programme | ||
Networks, Computation, and Social Dynamics Lab | Headed by Carter T. Butts. Part of the (CNRA) at the University of California in Irvine | ||
Northeastern University Network Science Institute | Features a PhD in Network Science program | ||
Northeastern University Center for Complex Network Research | Led by Albert-László Barabási | ||
Northeastern University MOBS Lab - Laboratory for the Modeling of Biological and Socio-technical Systems | Led by Alessandro Vespignani | ||
Pacific Ecoinformatics and Computational Ecology Lab | Non-profit study group of ecological networks (“food webs”) | ||
Peter J. Mucha’s Research Group at the University of North Carolina at Chapel Hill | |||
Stanford Network Analysis Project | , by | ||
Warren Center for Network & Data Sciences at the University of Pennsylvania | |||
Yale Institute for Network Science (YINS) | |||
Awesome Network Analysis / Professional Groups / Research Groups (Other) | |||
Cambridge Networks Network (CNN) | Research network on complex networks | ||
Centre for Business Network Analysis, University of Greenwich | Focused on economic/organisational network analysis | ||
Center for Network Science, Central European University, Budapest | Features a PhD in Network Science program | ||
Complex Networks | Research group based in Paris | ||
Cx-Nets | Virtual collaboration between four complex networks research groups | ||
Data Science Group | Wroclaw-based research group that studies, among many things, complex networks and other network-related topics | ||
Digital Humanities | Interdisciplinary group of researchers at the Marc Bloch Centre in Berlin, with many network science projects | ||
Forschungscluster der Universitäten Trier und Mainz “Gesellschaftliche Abhängigkeiten und soziale Netzwerke” | , in German | ||
GDR Analyse de réseaux en sciences humaines et sociales | – French research group with funds to support training and workshops on network analysis for social scientists | ||
Historical Network Research (HNR) | Platform for scholars interested in network analysis for historical research | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) / Historical Network Research (HNR) | |||
HNR Conferences, Workshops and Other Events | |||
HNR Talks | Videos, in German | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) | |||
ANR-Lab - International Laboratory for Applied Network Research | Russian group based at the National Research University in Moscow | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) / ANR-Lab - International Laboratory for Applied Network Research | |||
Theory and Methods in Network Analysis (“TMSA”) Summer Schools | |||
Awesome Network Analysis / Professional Groups / Research Groups (Other) | |||
Large Graphs and Networks | Research group at the Catholic University of Louvain ( ) | ||
MelNet Social Network Research Group, Swinburne University of Technology | . Twitter: | ||
Mitchell Centre for Social Network Analysis, University of Manchester | Currently studies . Twitter: | ||
Murata Laboratory | Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks | ||
NetLab | Research network at the University of Toronto, led by Barry Wellman | ||
Network Science Research Centre, Swansea University | |||
Network Dynamics | Research Lab at McGill University, led by | ||
NEtwoRks, Data, and Society (NERDS) | Research group at IT University of Copenhagen | ||
Netzwerkerei | Historical research project on the connections between Jewish intellectuals | ||
ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels | A research program on networks and regulation | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) / ORIO - Observatoire des Réseaux Intra- et Inter-Organisationnels | |||
‘Réseaux et Régulation’ Conference Cycle | Seminar based at Sciences Po in Paris, France | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) | |||
Redes-Sociales | , in Spanish - Information network based at the Universitat Autònoma de Barcelona | ||
RES-HIST : Réseaux et histoire | , in French - Blog posts from a research group on historical networks | ||
Awesome Network Analysis / Professional Groups / Research Groups (Other) / RES-HIST : Réseaux et histoire | |||
RES-HIST Conferences | |||
Awesome Network Analysis / Professional Groups / Research Groups (Other) | |||
SocioPatterns | Interdisciplinary research group that uses wireless sensors to study social network data | ||
SoNAR-C - Social Network Analysis Research Center, University of Italian Switzerland (USi) | |||
Topographies of Entanglements. Mapping Medieval Networks | Research platform based at the Austrian Academy of Sciences that focuses on applying network theory and visualisation to medieval history | ||
UCL Centre for Organisational Network Analysis (CONA) | |||
Virtual Observatory for the Study of Online Networks (VOSON) | Research and software development project located at the Australian National University | ||
Awesome Network Analysis / Review Articles / Archeological and Historical Networks | |||
Analyse de réseaux et histoire | , in French ( , 2005) | ||
Analyser les réseaux du passé en archéologie et en histoire | , in French ( , 2014) | ||
Formale Methoden der Netzwerkanalyse in den Geschichtswissenschaften: Warum und Wie? [Formal Network Methods in History: Why and How?] | , in German ( ; , 2012) | ||
From Hermeneutics to Data to Networks: Data Extraction and Network Visualization of Historical Sources | ( , 2015) | ||
Graph Theory and Networks in Biology | ( ; , 2007) | ||
Introduction à la visualisation de données : l’analyse de réseau en histoire | , in French ( , 2015) | ||
Introduction : où en est l’analyse de réseaux en histoire ? [Introducción: ¿en qué punto se encuentra el análisis de redes en Historia?] | , in French and Spanish ( , 2011) | ||
Networks and History | ( , 2002) | ||
Networks in Historical Research | (in , 2013) | ||
Networks of Power in Archaeology | ( , 2014) | ||
Netzwerkanalyse in den Geschichtswissenschaften. Historische Netzwerkanalyse als Methode für die Erforschung von historischen Prozessen | , in German ( , 2015) | ||
The Roots and Shoots of Archaeological Network Analysis: A Citation Analysis and Review of the Archaeological Use of Formal Network Methods | ( , 2014) | ||
Thinking Through Networks: A Review of Formal Network Methods in Archaeology | ( , 2013) | ||
Awesome Network Analysis / Review Articles / Bibliographic, Citation and Semantic Networks | |||
Assessing Impact and Quality from Local Dynamics of Citation Networks | ( , 2012) | ||
Atypical Combinations and Scientific Impact | ( , 2013) | ||
On Bibliographic Networks | ( , 2013) | ||
Dynamic Scientific Co-Authorship Networks | ( , 2012) | ||
Extracting Citation Networks from Publications in Classics | ( , 2016) | ||
Self-Citations, Co-Authorships and Keywords: A New Approach to Scientists’ Field Mobility? | ( , 2007) | ||
Socio-Semantic Frameworks | ( ; , 2013) | ||
Socio-Semantic Modeling of Epistemic Communities | (APSA, 2014) | ||
Tradition and Innovation in Scientists’ Research Strategies | ( , 2015) | ||
Awesome Network Analysis / Review Articles / Biological, Ecological and Disease Networks | |||
Biological Networks | ( , 2014) | ||
Interactome Networks and Human Disease | ( , 2011) | ||
Network Analysis: An Integrative Approach to the Structure of Psychopathology | ( , 2013) | ||
Network Biology: Understanding the Cell’s Functional Organization | Accessible introduction to (cellular) network analysis ( , 2004) | ||
Network Medicine: A Network-based Approach to Human Disease | ( , 2011) | ||
Social Networks and the Spread of Infectious Diseases: the AIDS Example | ( , 1985) | ||
Structure and Dynamics of Molecular Networks: A Novel Paradigm of Drug Discovery. A Comprehensive Review | Also includes an impressive list of network analysis software ( , 2013) | ||
Awesome Network Analysis / Review Articles / Complex and Multilayer Networks | |||
The Architecture of Complexity | From network theory to complexity theory ( , 2007) | ||
Complex Systems and Networks | (special issue of , 2009) | ||
Multilayer Networks in a Nutshell | ( , 2019) | ||
Statistical Mechanics of Complex Networks | ( , 2002) | ||
The Structure and Function of Complex Networks | ( , 2003) | ||
Awesome Network Analysis / Review Articles / Ethics of Network Analysis | |||
A Cautionary Note on Data Inputs and Visual Outputs in Social Network Analysis (SNA) | ( ; , 2014) | ||
Ethical Dilemmas in Social Network Research | (special issue of , 2005) | ||
Ethical and Strategic Issues in Organizational Social Network Analysis | ( , 2003) | ||
Awesome Network Analysis / Review Articles / Network Modeling | |||
A Brief History of Statistical Models for Network Analysis and Open Challenges | ( , 2012) | ||
Basic Models and Questions in Statistical Network Analysis | ( , 2017) | ||
Introduction to Stochastic Actor-Based Models for Network Dynamics | ( ; , 2010) | ||
Navigating the Range of Statistical Tools for Inferential Network Analysis | ( , 2017) | ||
Positional Analysis and Blockmodeling | ( , 2012) | ||
Social Network Evolution and Actor Oriented Models | ( , 1997) | ||
Statistical Models for Social Networks | ( , 2011) | ||
A Survey of Statistical Network Models | Book-length review ( ; , 2010) | ||
A Unified View of Generative Models for Networks: Models, Methods, Opportunities, and Challenges | ( ; on “ ”) | ||
Awesome Network Analysis / Review Articles / Network Visualization | |||
Explorations into the Visualization of Policy Networks | ( , 1999) | ||
Graphical Techniques for Exploring Social Network Data | ( , 2005) | ||
Methods of Social Network Visualization | ( , 2009; ) | ||
Social Networks | ( , 2013) | ||
Awesome Network Analysis / Review Articles / Social, Economic and Political Networks | |||
A propos de la notion de rôle dans l’analyse des relations sociales | ( , 2011) | ||
Brokerage | ( , 2012) | ||
Birds of a Feather: Homophily in Social Networks | ( , 2001) | ||
Mixed-Method Approaches to Social Network Analysis | (ESRC NCRM Discussion Paper, 2010) | ||
Network Analysis and Political Science | ( , 2011) | ||
Network Analysis for International Relations | ( , 2009) | ||
Network Analysis in the Social Sciences | ( , 2009) | ||
Networks and Trade | ( , 2018) | ||
Networks in Social Psychology, Beginning with Kurt Lewin | ( , 2014) | ||
Networks in the Understanding of Economic Behaviors | ( , 2014) | ||
Positions and Roles | ( , 2011) | ||
The Social and the Sexual: Networks in Contemporary Demographic Research | (PSC Working Paper Series, 2013) | ||
Social Network Analysis in the Study of Terrorism and Political Violence | ( ; , 2011) | ||
Social Networks and Crime: Pitfalls and Promises for Advancing the Field | ( , 2019) | ||
The Small World | Urban Social Networks: Some Methodological Problems and Possibilities ( , 1989) | ||
Awesome Network Analysis / Selected Papers | |||
Aux sources des grands réseaux d’interactions. Retour sur quelques propriétés déterminantes des réseaux sociaux issus de corpus documentaires | , by Pascal Cristofoli, in French - Reviews the current state of relational sociology and network analysis in light of the large-scale and online data ( , 2008) | ||
Birds of a Feather, Or Friend of a Friend? Using Exponential Random Graph Models to Investigate Adolescent Social Networks | , by Steven M. Goodreau, James A. Kitts and Martina Morris - Accessible introduction to the logic and application of exponential random graph modeling ( , 2001) | ||
Chains of Affection: The Structure of Adolescent Romantic and Sexual Networks | , by Peter S. Bearman, James Moody and Katherine Stovel - Classic example of topological network analysis applied to a network of affective and sexual ties ( , 2004) | ||
Coauthorship and Citation Patterns in the Physical Review | , by Travis Martin - Highly typical study of scientific publishing productivity and collaboration through temporal network analysis ( ; , 2013) | ||
The Convergence of Social and Technological Networks | , by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the Internet and social media ( , 2008) | ||
Deux traditions d’analyse des reseaux sociaux | , by Michael Eve ( ; , 2002) | ||
Homophily and Contagion Are Generically Confounded in Observational Social Network Studies | , by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the analysis of network diffusion and influence ( , 2011) | ||
La notion de réseau complexe : du réseau comme abstraction et outil à la masse de données des réseaux sociaux en ligne | , by Alain Barrat, in French - Accessible introduction to the study of complex networks ( , 2013) | ||
Network Analysis, Culture, and the Problem of Agency | , by Mustafa Emirbayer and Jeff Goodwin ( , 1994), and , by Mustafa Emirbayer ( , 1997) - Sociological foundations for a science of social ties | ||
Network Theory, Plot Analysis | , by Franco Moretti - Example applications of (fictional) network analysis in literary studies ( , 2011) | ||
Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths | , by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs ( , 2010; ) | ||
Scale-Free Networks | , by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument ( , 2003) | ||
Social Networks and Causal Inference | , by Tyler J. VanderWeele and Weihua An - Reviews the different ways in which network analysis can produce meaningful causal statements, as well as the inherent limits of network analysis for doing so ( , 2013) | ||
The Performativity of Networks | , by Kieran Healy - Network analysis meets science studies: social networks, like financial markets, are highly subject to performativity, i.e. the possibility that reality might be altered by its theoretical inquiry ( , 2015) | ||
Revisiting the Foundations of Network Analysis | , by Carter T. Butts - On choosing the right network representation to frame a research problem | ||
Robust Action and the Rise of the Medici, 1400-1434 | , by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine state ( , 1993) | ||
The Strength of Weak Ties | , by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: jobseeking ( , 1973) | ||
The Ties that Divide: A Network Analysis of the International Monetary System, 1890–1910 | ( , 2005) and ( , 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century ( ) | ||
Topics in Social Network Analysis and Network Science | , by A. James O’Malley and Jukka-Pekka Onnela - 50-page introduction to network analysis, with just the right amount of detail on all aspects of it ( , forthcoming 2017) | ||
Awesome Network Analysis / Software | |||
ArcGIS Network Analyst | Network-based spatial analysis software for solving complex routing problems | ||
CFinder | Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM) | ||
Circos | Cross-platform program to produce circular layouts of network data, written in Perl | ||
Cytoscape | Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library | ||
Awesome Network Analysis / Software / Cytoscape | |||
Network Analysis with Cytoscape Tutorial | Illustrated through an archaeological and geographical case study (2013) | ||
Awesome Network Analysis / Software | |||
Discourse Network Analyzer (DNA) | Qualitative content analysis tool with network export facilities, written in Java with R integration | ||
E-Net | Windows program for ego network analysis | ||
EgoNet | Cross-platform Java program for ego network analysis | ||
EgoWeb | Server-side software for social network data collection and processing | ||
easyN | Online tool aimed at representing and sharing gene interaction networks as well as Petri net models | ||
Gephi | Cross-platform, free and open source tool for network visualization | ||
Awesome Network Analysis / Software / Gephi | |||
Clément Levallois’ Gephi Tutorials | |||
Geographische Netzwerkvisualisierung mit dem Programm ‘Gephi’ | , in German (2016) | ||
Introduction to Network Analysis and Visualization with Gephi | (2015) | ||
Practical Social Network Analysis With Gephi | (2014) | ||
Awesome Network Analysis / Software | |||
GLEAMviz Simulator | Cross-platform tool intended for the prediction of human epidemics | ||
Graph Commons | Collaborative platform for mapping, analyzing and publishing data-networks | ||
Graphia | Cross-platform tool to visualize large and complex networks ( ) | ||
Graphviz | Cross-platform software to draw graphs in the DOT graph drawing language | ||
Graphy | 48 | almost 5 years ago | Graph theory library written in Ruby |
GraphX | module to perform graph-related parallel computation | ||
Linkage | Online tool to visualize and model networks with textual edges | ||
Lynks | Web-based tool for simple network analysis and visualization | ||
Mathematica | Cross-platform program with graph theory and network analysis functionalities | ||
Awesome Network Analysis / Software / Mathematica | |||
IGraph/M | 90 | 3 months ago | Interface to use the library from within Mathematica, using standard Mathematica objects |
Awesome Network Analysis / Software | |||
Metamaps | Free, open-source platform to draw networks, currently in beta | ||
MuxViz | Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave | ||
Neo4j | Open source, scalable graph database, used by companies like | ||
Network Canvas | A free and open-source set of survey tools for ego-centric and personal network studies, including and a | ||
Node Overlap and Segregation Software | Web-based tool to compute ’s node overlap and segregation measures | ||
Nodegoat | Web-based data management, network analysis and visualisation environment ( ) | ||
NodeXL | Free, open-source template to explore network graphs with Microsoft Excel | ||
Awesome Network Analysis / Software / NodeXL | |||
The NodeXL Series | Series of blog posts on using NodeXL (2013) | ||
Awesome Network Analysis / Software | |||
ORA-LITE | Windows program for dynamic meta-network assessment and analysis | ||
OSoMe | Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks | ||
Pajek | Windows program for large network analysis, free for noncommercial use | ||
Awesome Network Analysis / Software / Pajek | |||
Analyse des réseaux : une introduction à Pajek | , in French (2011) | ||
La détection de communautés avec Pajek 3.6 | , in French (2012) | ||
Awesome Network Analysis / Software | |||
Palladio | Web-based spatial network visualization tool by the at Stanford University | ||
PARTNER - Program to Analyze, Record, and Track Networks to Enhance Relationships | Excel-based tool for building networks from surveys | ||
PIGALE - Public Implementation of a Graph Algorithm Library and Editor | Windows program and C++ library to analyze planar graphs | ||
PNet | Simulation and estimation of (one-mode and multilevel) exponential random graph models (ERGMs), written in Java for Windows | ||
Polinode | Web-based platform to both analyze network data as well as collect network data via relationship-based surveys | ||
PUCK - Program for the Use and Computation of Kinship data | Cross-platform Java program for genealogical network analysis | ||
qgis-edge-bundling | 64 | over 3 years ago | Implementation of force-directed edge bundling for the QGIS Processing toolbox |
Radatools | Set of tools intended for the analysis of complex networks, built on top of , a library written in Ada | ||
Retina | Web application to share GEXF and GraphML network visualizations | ||
SageMath | Free open-source mathematics software with extensive | ||
Segrada | Cross-platform tool to build and visualize semantic graph databases | ||
Siena | Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package | ||
SocNetV - Social Network Visualizer | Cross-platform program that includes a to construct hyperlink networks | ||
SoNIA - Social Network Image Animator | Tool to visualize dynamic or longitudinal network data. Formerly a ( ), now developed as the ndtv R package | ||
SparklingGraph | Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala | ||
SPaTo Visual Explorer | Cross-platform program for the visualization and exploration of complex networks | ||
StOCNET | Several Windows programs developed by the same team as Siena | ||
Tulip | Cross-platform network analysis and visualization framework built on top of a C++ library, with plugins dedicated to specific biological and physical networks. Also available through its | ||
UCINET | Windows commercial software package for the analysis of social network data | ||
Uberlink | Software suite for online (hyperlink) network analysis, by the research project | ||
Awesome Network Analysis / Software / Uberlink | |||
VOSON System | Web-based software for the collection and analysis of online network data | ||
VOSON Data Provider for NodeXL | ( ; to be discontinued in 2016) | ||
vosonR | R client for the VOSON software (in development) | ||
Awesome Network Analysis / Software | |||
UNISoN | Cross-platform program to download and visualize Usenet data. | ||
VennMaker: An Actor-Centered Interactive Network Mapping Tool | Cross-platform Java program for ego network analysis | ||
Awesome Network Analysis / Software / VennMaker: An Actor-Centered Interactive Network Mapping Tool | |||
VennMaker for Historians: Sources, Social Networks and Software | (also available in Spanish; 2011) | ||
Awesome Network Analysis / Software | |||
Visone | Cross-platform Java network analysis and visualization program, free for noncommercial use | ||
Awesome Network Analysis / Software / Visone | |||
Visone Tutorials | Including one using an archaeological case study (2017) | ||
Awesome Network Analysis / Software | |||
Vizster | Cross-platform Java program to visualize online social networks | ||
VOSviewer | Cross-platform Java tool for constructing and visualizing bibliometric networks | ||
Awesome Network Analysis / Software / Algorithms | |||
algo.graph | 16 | about 7 years ago | Basic graph theory algorithms written in Clojure |
CONGA and CONGO | Algorithms to detect overlapping communities in networks, written in Java | ||
ForceAtlas2 | Force-directed layout included in Gephi ( ) | ||
Linkcomm - Link Communities in Complex Networks | 91 | over 3 years ago | Community detection algorithms, available in C++, Python |
MixNet - Erdös-Rényi Mixture Model for Networks | Community detection method, available in C++ and R | ||
OSLOM2 - Order Statistics Local Optimization Method | Clustering algorithm | ||
vbmod: Variational Bayesian Inference for Network Modularity | MATLAB and Python implementations of a | ||
weighted-modularity-LPAwbPLUS | 28 | over 8 years ago | Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks |
Awesome Network Analysis / Software / C / C++ | |||
Benchmark Graphs to Test Community Detection Algorithms | C++ code to generate weighted and unweighted graphs | ||
BGL - Boost Graph Library | C++ library that provides a generic interface to access graph structures | ||
igraph | C library of network analysis tools; also exists as packages for Python and R | ||
MapEquation | C++ code for the Infomap method of multilevel community detection | ||
Louvain Method | C++ code for the | ||
networks.tb | C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X | ||
OGDF - Open Graph Drawing Framework | Self-contained C++ class library for diagram, network and tree layouts | ||
OpenOrd: Large-scale Graph Layout (formerly DrL) | C++ algorithm, also available as a | ||
RAPIDS cuGraph | 1,688 | 5 days ago | Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics |
Stanford Network Analysis Project | C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL | ||
Walktrap | C++ program that implements the | ||
Awesome Network Analysis / Software / Java | |||
GraphStore | 70 | 5 days ago | In-memory graph structure implementation, powering Gephi |
GraphStream | Java library for the modeling and analysis of dynamic graphs | ||
Mixer | 1 | over 6 years ago | Prototype showing how to use to continuously merge multiple large graphs into a single derived one |
Awesome Network Analysis / Software / JavaScript | |||
Cytoscape.js | Network analysis and visualization library | ||
d3.js | JavaScript visualization library that can plot | ||
Awesome Network Analysis / Software / JavaScript / d3.js | |||
d3-force: Force-directed graph layout | 1,799 | 10 months ago | using velocity Verlet integration |
d3-vector: Define connections between nodes as directional vectors | 4 | about 5 years ago | , consisting of angles and magnitudes |
Awesome Network Analysis / Software / JavaScript | |||
GENSI | JavaScript graphical tool to collect ego-centered network data ( ) | ||
Gephi Lite | 197 | 5 days ago | Web-based, lighter version of Gephi |
GoJS | Visualization library to draw diagrams and several types of network layouts | ||
Graphology | Specification and reference implementation for a robust and multipurpose JavaScript object | ||
greuler | Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and | ||
jLouvain | 150 | about 3 years ago | Louvain community detection for Javascript ( ) |
NetworkCube | 93 | about 2 years ago | "Dynamic Network Visualizations [for] Domain Scientists." For demo examples, see |
Oligrapher | 101 | 3 months ago | Library initially developed to visualise |
Popoto.js | 511 | 4 months ago | Library based on d3.js that provides a graph based search interface |
Sigma | JavaScript library dedicated to graph drawing | ||
vis.js | JavaScript library with network visualization capabilities | ||
VivaGraphJS | 3,759 | about 1 month ago | Graph drawing library ( ) |
viz.js | Use Graphviz in Web pages | ||
Awesome Network Analysis / Software / Julia | |||
BayesNets.jl | 218 | 7 months ago | Package to work with Bayesian networks |
Awesome Network Analysis / Software / Julia / BayesNets.jl | |||
Smile.jl | 2 | about 8 years ago | Julia wrapper for the , which covers Bayesian networks and influence diagrams |
Awesome Network Analysis / Software / Julia | |||
EcologicalNetwork.jl | 68 | over 1 year ago | Package to compute measures of ecological network structures |
EvolvingGraphs | 52 | over 6 years ago | Package to create, manipulate and study time-dependent networks |
Awesome Network Analysis / Software / Julia / EvolvingGraphs | |||
Dynamic Network Analysis in Julia | |||
Awesome Network Analysis / Software / Julia | |||
Graphs.jl | 205 | almost 3 years ago | Package to manipulate graph objects in Julia |
Awesome Network Analysis / Software / Julia / Graphs.jl | |||
Creating Network Diagrams in Plotly from Julia | |||
MetaGraphs | 59 | 10 months ago | Graph data structures with multiple heterogeneous metadata for Graphs.jl |
Awesome Network Analysis / Software / Julia | |||
JuliaGraphs | Suite of Julia packages for network analysis | ||
Awesome Network Analysis / Software / Julia / JuliaGraphs | |||
GraphVisualize.jl | 5 | over 4 years ago | Graph visualization built on top of |
LightGraphs.jl | 670 | about 3 years ago | Graph library with a focus on performance and simplicity |
LightGraphsExtras.jl | 21 | over 2 years ago | Community detection and other functionalities for the LightGraphs.jl package |
NetworkLayout.jl | 96 | 5 days ago | Layout algorithms for graphs and trees |
Networks.jl | 3 | about 7 years ago | Additional graph functions for the LightGraphs.jl package |
GraphCentrality.jl | 4 | about 8 years ago | Adds network measures to the Graphs.jl package |
Awesome Network Analysis / Software / Julia | |||
MatrixNetworks.jl | 109 | over 1 year ago | A method to handle graph/matrix/network structures |
NetworkFlows.jl | 3 | over 7 years ago | Package of network flows algorithms |
NetworkViz.jl | 29 | over 7 years ago | Package to visualize graphs produced with LightGraphs.jl, using |
Awesome Network Analysis / Software / Julia / NetworkViz.jl | |||
Video presentation of the package | by its author at JuliaCon 2016 | ||
Awesome Network Analysis / Software / Julia | |||
PhyloNetworks.jl | 156 | 5 days ago | Package to manipulate, analyze and visualize phylogenetic networks |
TikzGraphs | 77 | over 2 years ago | Package to create graph layouts using the TikZ graphics language |
Awesome Network Analysis / Software / MATLAB | |||
Brain Connectivity Toolbox | Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects | ||
Complex Networks Package for MatLab | |||
CONTEST | Random network toolbox that implements nine network models | ||
Generalized Louvain | Variant of the Louvain community detection algorithm | ||
MatlabBGL | Graph library based on the C++ Boost Graph Library | ||
MATLAB RBN Toolbox | Simulation und visualization of Random Boolean Networks | ||
Awesome Network Analysis / Software / Python | |||
bokeh | Python library for interactive data visualization in the browser, with support for networks | ||
cdlib | 368 | about 1 month ago | Python community detection library, with 60+ methods and evaluation/visualization features |
dash-cytoscape | 601 | 22 days ago | Interactive network visualization library in Python, powered by Cytoscape.js and Dash |
graph-tool | Python module for network manipulation and analysis, written mostly in C++ for speed | ||
Graphinate | Python package aimed at generating graphs from data sources, built on top of | ||
graphviz | Python renderer for the DOT graph drawing language | ||
graspologic | 785 | 3 months ago | Python package for statistical algorithms, models, and visualization for single and multiple networks |
Awesome Network Analysis / Software / Python / graspologic | |||
Tutorials on algorithms and models | |||
Awesome Network Analysis / Software / Python | |||
hiveplot | Python utility for drawing networks as hive plots on matplotlib, a more comprehensive network visualization | ||
karateclub | 2,142 | 3 months ago | Python package for unsupervised learning on graph structured data with a scikit-learn like API |
linkpred | 141 | 11 months ago | Assess the likelihood of potential links in a future snapshot of a network |
littleballoffur | 701 | 8 months ago | Python package for sampling from graph structured data with a scikit-learn like API |
metaknowledge | Python package to turn bibliometrics data into authorship and citation networks | ||
networkx | Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks | ||
Awesome Network Analysis / Software / Python / networkx | |||
Implementing an ERGM from Scratch in Python | , using networkx and numpy (2014) | ||
nxviz | 452 | about 1 month ago | Visualization package for NetworkX |
Awesome Network Analysis / Software / Python | |||
nngt | Library-agnostic graph generation and analysis that wraps around , and ). Includes normalized graph measures, advanced visualizations, (geo)spatial tools, and interfaces for neuroscience simulators | ||
npartite | 12 | over 4 years ago | Python algorithms for community detection in n-partite networks |
parag | 2 | 3 months ago | Interactive visualization of higher-order graphs in Python |
PyGraphistry | 2,135 | 4 days ago | Python library to extract, transform, and visually explore big graphs |
python-igraph | Python version of the igraph network analysis package | ||
python-louvain | A solid implementation of Louvain community detection algorithm | ||
Raphtory | A platform for building and analysing temporal networks | ||
RAPIDS cuGraph | 1,688 | 5 days ago | Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics |
rustworkx | 1,085 | 9 days ago | A high performance Python graph library implemented in Rust |
scipy.sparse.csgraph | Fast graph algorithms based on sparse matrix representations | ||
Snap.py | A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks) | ||
SnapVX | 65 | over 4 years ago | A convex optimization solver for problems defined on a graph |
tnetwork | 15 | about 1 year ago | Python library for temporal networks, and dynamic community detection in particular |
TQ (Temporal Quantities) | Python 3 library for temporal network analysis | ||
uunet | Tools for multilayer social networks | ||
Awesome Network Analysis / Software / Python / uunet | |||
Related book and data | . See for the R version | ||
Awesome Network Analysis / Software / Python | |||
webweb | MATLAB/Python library to produce interactive network visualizations with d3.js | ||
Awesome Network Analysis / Software / R | |||
amen | Additive and multiplicative effects models for relational data | ||
backbone | Provides methods for binarizing a weighted network retaining only significant edges | ||
Awesome Network Analysis / Software / R / backbone | |||
Introduction to the backbone package | |||
Awesome Network Analysis / Software / R | |||
Bergm | Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter: | ||
bipartite | Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: R package | ||
blockmodeling | Implementats generalized blockmodeling for valued networks | ||
bnlearn | Tools for ( ) | ||
brainGraph | Tools for performing graph theory analysis of brain MRI data | ||
btergm | Tools to fit temporal ERGMs by bootstrapped pseudolikelihood. Also provides MCMC maximum likelihood estimation, goodness of fit for ERGMs, TERGMs, and stochastic actor-oriented models (SAOMs), and tools for the micro-level interpretation of ERGMs and TERGMs | ||
CCAS | 5 | over 7 years ago | Statistical model for communication networks |
concoR | 9 | over 8 years ago | Implementation of the CONCOR network blockmodeling algorithm ( ) |
ContentStructure | 6 | about 9 years ago | Implements an extension to the |
DiagrammeR | 1,695 | 2 months ago | Connects R, RStudio and JavaScript libraries to draw graph diagrams ( ) |
dodgr | Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths | ||
edgebundle | 124 | 19 days ago | Edge bundling algorithms, useful to e.g. draw networks of transport maps |
egor | Tools for importing, analyzing and visualizing ego-centered network data, in various formats | ||
EpiModel | Tools for simulating mathematical models of infectious disease dynamics ( ) | ||
ergm | Estimation of Exponential Random Graph Models (ERGMs) | ||
Awesome Network Analysis / Software / R / ergm | |||
ERGM: edgecov and dyadcov Specifications | |||
Awesome Network Analysis / Software / R | |||
ergMargins | Process analysis for ERGMs | ||
ergmito | ERGMs for small networks | ||
fergm | Frailty ERGMs | ||
GERGM | Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM) | ||
geomnet | Single-geometry approach to network visualization with | ||
ggnetwork | Multiple-geometries approach to plot network objects with | ||
ggraph | Grammar of graph graphics built in the spirit of . See also: R package | ||
goldfish | 61 | 29 days ago | Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time |
graphlayouts | Layout algorithms based on the concept of | ||
Awesome Network Analysis / Software / R / graphlayouts | |||
Introducing graphlayouts with Game of Thrones | |||
Network Visualizations in R using ggraph and graphlayouts | |||
Awesome Network Analysis / Software / R | |||
hergm | Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence | ||
hierformR | – Determine paths and states that social networks develop over time to form social hierarchies | ||
igraph | A collection of network analysis tools | ||
Awesome Network Analysis / Software / R / igraph | |||
Network Analysis and Visualization with R and igraph | (2016) | ||
Awesome Network Analysis / Software / R | |||
influenceR | Compute various node centrality network measures by Burt, Borgatti and others | ||
keyplayer | Implements several network centrality measures | ||
latentnet | Latent position and cluster models for network objects | ||
levelnet | 9 | over 1 year ago | Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: R package |
lpNet | Linear programming model aimed at infering biological (signalling, gene) networks | ||
mlergm | Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks | ||
multigraph | Functions to build and visualize all sorts of multigraphs | ||
multigraphr | Random multigraph models, statistics of multigraph properties, and goodness of fit tests | ||
multinet | Tools for multilayer social networks | ||
Awesome Network Analysis / Software / R / multinet | |||
Related book and data | , and . See for the Python version | ||
Awesome Network Analysis / Software / R | |||
multinets | Package to handle multilevel networks in | ||
migraph | A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks | ||
ndtv | Tools to construct animated visualizations of dynamic network data in various formats | ||
neo4r | 105 | over 2 years ago | Neo4J driver for R |
networkD3 | Create d3.js network graphs from R | ||
netdiffuseR | Tools to analyze the network diffusion of innovations | ||
netrankr | Up-to-date collection of network centrality indices, with lots of documentation | ||
Awesome Network Analysis / Software / R / netrankr | |||
Network Centrality in R: An Introduction | Includes a review of relevant R packages | ||
Network Centrality in R: Neighborhood Inclusion | |||
Network Centrality in R: New Ways of Measuring Centrality | (2018) | ||
Awesome Network Analysis / Software / R | |||
netseg | Various measures of network segregation and homophily | ||
NetSim | Simulate and combine micro-models to research their impact on the macro-features of social networks | ||
netUtils | 15 | 19 days ago | Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model |
network | Basic tools to manipulate relational data in R | ||
networkdata | 142 | 7 months ago | Includes 979 network datasets containing 2135 networks |
networkdiffusion | 7 | over 3 years ago | Simulate and visualize basic epidemic diffusion in networks |
networkDynamic | Support for dynamic, (inter)temporal networks | ||
networksis | Tools to simulate bipartite networksgraphs with the degrees of the nodes fixed and specified | ||
PAFit | Nonparametric estimation of preferential attachment and node fitness in temporal complex networks | ||
PCIT | Implements Partial Correlation with Information Theory in order to identify meaningful correlations in weighted networks, such as gene co-expression networks | ||
RCy3 | Interface between R and recent versions of Cytoscape | ||
RCyjs | Interface between R and Cytoscape.js | ||
qgraph | Tools to model and visualize psychometric networks; also aimed at weighted graphical models) | ||
Awesome Network Analysis / Software / R / qgraph | |||
Network Model Selection Using qgraph 1.3 | (2014) | ||
qgraph Examples | |||
qgraph: Network Visualizations of Relationships in Psychometric Data | (2012) | ||
Awesome Network Analysis / Software / R | |||
relevent | Tools to fit relational event models (REM) | ||
Awesome Network Analysis / Software / R / relevent | |||
informR | Tools to create sequence statistics from event lists to be used in | ||
Awesome Network Analysis / Software / R | |||
rem | Estimate endogenous network effects in event sequences and fit relational event models (REM), which measure how networks form and evolve over time | ||
rgexf | Export network objects from R to GEXF for manipulation with software like Gephi or Sigma | ||
Rgraphviz | Support for using the Graphviz library and its DOT graph drawing language from within R | ||
RSiena | Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data | ||
signnet | Methods to analyse signed networks (structural balance, blockmodeling, centrality, etc.) | ||
sna | Basic network constructors, measures and visualization tools | ||
snahelper | RStudio addin which provides a GUI to visualize and analyse networks | ||
Awesome Network Analysis / Software / R / snahelper | |||
Introduction to snahelper (Part 1) | |||
Introduction to snahelper (Part 2) | |||
Awesome Network Analysis / Software / R | |||
SocialMediaLab | Tools for collecting social media data and generating networks from it ( , ) | ||
spectralGOF | Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network | ||
spnet | Methods for visualizing spatial networks on maps in the class | ||
spNetwork | Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis | ||
statnet | The project behind many R network analysis packages ( , ) | ||
Awesome Network Analysis / Software / R / statnet | |||
Exponential Random Graph Models (ERGMs) Using statnet | (2022) | ||
Guides for Using the statnet Package | (2010) | ||
Modeling Valued Networks with statnet | (2022) | ||
Awesome Network Analysis / Software / R | |||
tergm | Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM) | ||
tidygraph | ‘Tidy’ approach to building graph structures. See also: R package | ||
Awesome Network Analysis / Software / R / tidygraph | |||
Introducing tidygraph | |||
Tidying up your network analysis with tidygraph and ggraph | |||
Awesome Network Analysis / Software / R | |||
tnam | Tools to fit temporal and cross-sectional network autocorrelation models (TNAM) | ||
tnet | Network measures for weighted, two-mode and longitudinal networks | ||
tsna | Tools for temporal social network analysis | ||
visNetwork | 543 | 6 months ago | Using vis.js library for network visualization |
xergm | Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM and REM) | ||
Awesome Network Analysis / Software / Stata | |||
nwcommands: Network Analysis Using Stata | ( , ) | ||
SNA with Stata | Blog documenting the use of the netplot Stata package | ||
Awesome Network Analysis / Software / Syntaxes | |||
DOT | Graph drawing syntax used by the Graphviz software | ||
GEXF | File format used by the Gephi software | ||
GraphML | Comprehensive and easy-to-use file format for graphs ( ) | ||
JGraphT | Java graph library for graph data structures and algorithms ( ) | ||
JUNG - Java Universal Network/Graph Framework | Extensible library to represent network objects | ||
PGF/TikZ | of vector graphics languages that can be used to draw graphs in the typesetting environment | ||
Awesome Network Analysis / Software / Syntaxes / PGF/TikZ | |||
Awesome LaTeX: TiKZ | 1,398 | 3 months ago | |
How to Draw Graphs in LaTeX? | |||
TikZ Graph Examples | |||
TikZ & PGF Manual | |||
TKZ | Packages based on TikZ | ||
Awesome Network Analysis / Software / Syntaxes | |||
TLP - Tulip Software Graph Format | Graph syntax used by the Tulip software framework | ||
Cypher | Graph query language used by | ||
Awesome Network Analysis / Software / Tutorials | |||
A tutorial for network centrality in R | 2 | over 1 year ago | (2023) |
Basic and Advanced Network Visualization with Gephi and R | (2016) | ||
Basic Network Analysis in R using igraph and related packages | (2022) | ||
Interactive and Dynamic Network Visualization in R | and JavaScript libraries (2016) | ||
Nodegoat and Palladio: Introductory Workshop | Aimed at humanists (2015) | ||
Static and Dynamic Network Visualization with R | Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019) | ||
Tidy Network Analysis in R using the tidygraph package | (2022) | ||
Awesome Network Analysis / Varia | |||
+100 herramientas para el análisis de redes sociales | Long list of diverse applications of network analysis, with shorts descriptions in Spanish | ||
Awesome graph classification | 4,745 | over 1 year ago | Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation |
Awesome community detection | 2,325 | 7 months ago | Comprehensive list of community detection papers with title, authors, link to the paper and reference implementation |
Centrality Measures as a Signature of Roles in Rousseau’s Les Confessions | Analysis of a real-world character network | ||
Cheat Sheet: Social Network Analysis for Humanists | Basic notions to remember when assembling and manipulating network data | ||
Computer Technologies for the Historical Research of Intellectual Networks | Series of videos by historians, featuring Marten Düring and Scott Weingart | ||
Convert Between Graph Formats | Online service to convert from/to many different common graph formats | ||
David Knoke on Network Analysis | 20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke’s research on terrorist networks | ||
Glossary of Terms for Statistical Network Models | |||
Linton C. Freeman’s Social Network Research Publications | , spanning from 1955 to today | ||
Mapping the Republic of Letters | Research project on early-modern scholarship ( ) | ||
Mixed-Method Approaches to Social Network Analysis | Videos of a conference at the Middlesex University School of Law (2014) | ||
Modeling Complex Social Networks: Challenges and Opportunities for Statistical Learning and Inference | Video of a seminar talk by Jennifer Neville at Purdue University (2011) | ||
NetSciEd - Network Science in Education | International initiative aimed at improving network literacy | ||
Network Fact | (@) - Twitter account on networks, graph theory, and related topics | ||
Network Map of Knowledge and Art | DBPedia-derived networks of who-was-influenced-by-whom directed ties, using SPARQL and Gephi | ||
Network Science | (@) - A thematic list of Twitter accounts, curated by | ||
The Networks Network | Mailing-list (mostly historians from the HNR network) | ||
New Perspectives for Relational Learning | Videos (and more) from a workshop at the Banff International Research Station (BIRS) (2015) | ||
Open Graph protocol | A proposed standard to turn any Web page into a “social graph object.” | ||
Periodic Table of Network Centrality | Interactive periodic table of centrality indices | ||
Picking Sides | Community detection in the political network of Middle Eastern alliances between various state and nonstate powers ( ) | ||
Psych Networks | Website with news, references and about network modeling for psychological data | ||
Tutorial Paper on New Methods for Estimating Psychological Networks | |||
(Psychological) Network Analysis Workshops | 3-day workshop on psychological network analysis using R (2019) | ||
Should I do Social Network Analysis? | |||
The Small World of Psychopathology | Paper on how psychiatric symptoms connec to each other ( ) | ||
Social Network Analysis in DBpedia | Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek | ||
SNA-DE Mailing-List | , in German | ||
SPARQL for R Tutorial - Hollywood Social Network Analysis | Also uses Gephi | ||
A Sociology Citation Network | and - Examples of scientific co-citation networks | ||
Using Metadata to Find Paul Revere | and - Network analysis applied to American revolutionaries | ||
Visual Complexity. An Exploration on Mapping Complex Networks | Tons of beautiful network and tree visualizations ( , also in Chinese and French) | ||
Visualizing Historical Networks | Historical network research projects at Harvard University | ||
Awesome Network Analysis / Varia / Visualizing Historical Networks | |||
Angoulême in 1764 | |||
Economists in Cambridge | |||
The Inner Life of Empires: An Eighteenth Century History | |||
Awesome Network Analysis / Varia / Blog Series | |||
Archaeological Networks | Tom Brughmans’ blog, aimed at archaeologists and historians | ||
Blog Posts About Networks by Aaron Clauset | |||
Blog Posts About Networks by Baptiste Coulmont | , in French | ||
Blog Posts About Networks by Cosma R. Shalizi | |||
Blog Posts About Networks by François Briatte | , in French | ||
Blog Posts About Networks by Katya Ognyanova | |||
Blog Posts About Networks by Pierre Mercklé | , in French | ||
Blog Posts About Networks on the Bad Hessian Blog | , by various contributors | ||
R-Bloggers | Blog posts about networks on , an aggregator of R blogs: | ||
Awesome Network Analysis / Varia / Blog Series / R-Bloggers | |||
Networks | |||
Social Network Analysis | |||
Awesome Network Analysis / Varia / Blog Series | |||
Cosma R. Shalizi’s Notebooks | on network-related topics, definitely worth listing in (selective) detail: | ||
Awesome Network Analysis / Varia / Blog Series / Cosma R. Shalizi’s Notebooks | |||
Analysis of Network Data | |||
Assortative Social Networks and Neutral Cultural Evolution | |||
Biochemical Network Evolution | |||
Citations and Citation Networks | |||
Community Discovery Methods for Complex Networks | |||
Complex Networks | |||
Experiments on Social Networks | |||
Exponential Random Graph Models (ERGMs) | |||
Graph Sampling Algorithms | |||
Graph Theory | |||
Homophily and Influence in Social Networks | |||
Inferring Networks from Non-Network Data | |||
Joint Modeling of Texts and Networks | |||
Network Comparison | |||
Networks of Political Actors | |||
Relational Learning | |||
Social Contagion, Information Cascades, Diffusion of Innovations, Etc. | |||
Social Networks | |||
Stochastic Block Models | |||
Awesome Network Analysis / Varia / Blog Series / Cosma R. Shalizi’s Notebooks / Stochastic Block Models | |||
An Annotated Bibliography on Stochastic Blockmodels | See also: (2019) | ||
Awesome Network Analysis / Varia / Blog Series / Daniel Little’s blog posts on the philosophy of social science: | |||
Networks | |||
Social Networks | |||
Awesome Network Analysis / Varia / Blog Series / Martin Grandjean’s blog posts about (mostly) network visualization, in English and French: | |||
Network Analysis | |||
Social Networks | |||
Awesome Network Analysis / Varia / Blog Series | |||
Networks Demystified | , a series of blog posts by Scott B. Weingart | ||
Netze und Netzwerke | , in English and German - Blog on the history of network analysis, by Sebastian Gießmann ( ) | ||
R / Notes: Networks | Blog posts focused on manipulating networks in R, by François Briatte | ||
TNT: The Network Thinkers | Valdis Krebs’ blog | ||
Under Roquentin’s Chestnut Tree | Moses Boudourides’ blog on analyzing (mostly) networks with Python | ||
Awesome Network Analysis / Varia / Blog Series / Yannick Rochat’s blog posts about digital humanities, in English and French: | |||
Character Networks | |||
Network Analysis | |||
Awesome Network Analysis / Varia / Fictional Networks | |||
Analyzing Networks of Characters in Love Actually | Features a cluster analysis and a (using R + Shiny) | ||
Character Co-Occurrences in Victor Hugo’s Les Misérables | , plotted as an adjacency matrix, written in Python (+ Javascript) | ||
Lessons on Exponential Random Graph Modeling from Grey’s Anatomy hook-ups | (using R) | ||
Network Analysis of Shakespeare’s Macbeth | (using Python) | ||
The Network and Trajectories of Transitions among Sentential Co-Occurrences of Characters of Arthur Conan Doyle’s A Study in Scarlet | (using Python; ) | ||
Network Visualization: Mapping Shakespeare’s Tragedies | |||
Social Network Analysis of Alice in Wonderland | |||
Star Wars Social Networks: The Force Awakens | Also an example of a social network analysis written in F# | ||
Universal Properties of Mythological Networks | ( ) | ||
Awesome Network Analysis / Varia / Network Science | |||
Editing a Normal Science Journal in Social Science | Reflections on the journal by its founding editor | ||
The Emergence of Network Science | Video documentary, featuring Steven H. Strogatz and many others | ||
Albert-László Barabási’s review articles | From : | ||
Awesome Network Analysis / Varia / Network Science / Albert-László Barabási’s review articles | |||
Taming Complexity | |||
The Network Takeover | |||
Awesome Network Analysis / Varia / Network Science | |||
The Invasion of the Physicists | How “network ” came up | ||
Isolated Social Networkers | , and - Series of blog posts that predate the advent of “network science” as a buzzword, but that touch upon the same issues as those now being discussed under that heading | ||
The ‘New’ Science of Networks | Review of network science books published in 2002-2003 | ||
Predicting Highly Cited Papers | Prediction of the next highly cited papers in network science | ||
Social Network and Network Science Co-Citations Across Disciplines in 1996-2013 | 21 | over 9 years ago | |
Three Hard Questions about Network Science | |||
A Twenty-First Century Science | Essay by Duncan J. Watts | ||
What is Network Science? | First editorial of the recent journal | ||
Awesome Network Analysis / Varia / Small Worlds | |||
The Erdös Number Project | Research project on the collaborative ties and network distance between mathematicians | ||
How Small is the World, Really? | Discussion of “ degrees of separation” small-world experiments | ||
The Oracle of Bacon | Based on an that resulted in a | ||
Panel: Six Degrees of Separation | Video of a conference at Cornell University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg and other speakers | ||
Patterns in the Ivy: The Small World of Metal | Example of a two-mode network analysis based on metal artists and bands | ||
Six Degrees of Francis Bacon | Interactive visualization of a well-documented early modern historical network | ||
Six Degrees of Separation | Wikipedia English entry | ||
Awesome Network Analysis / Varia / Two-Mode Networks | |||
L’analyse des graphes bipartis | , in French (2013) | ||
Basic Notions for the Analysis of Large Two-mode Networks | ( , ; , 2008) | ||
Fitting Large Signed Two-mode Blockmodels: Problems and Prospects | |||
Generalized Blockmodeling of Two-mode Network Data | ( ) | ||
Generalized Two-Mode Cores | |||
Partitioning Signed Two-Mode Networks | |||
Working with Bipartite/Affiliation Network Data in R | (2012) |