awesome-network-analysis

, by the NetSciEd team (c. 2016) - Available in several languages ( )

, by Laurent Beauguitte, in French (2023).

on GitHub

, by Filippo Menczer, Santo Fortunato, and Clayton A. Davis - Tutorials, datasets and other resouces (2020)

, by David Easley and Jon Kleinberg - Full pre-publication draft ( ; 2010)

, by Jeroen Bruggeman ( ; 2008)

, by Radhakrishnan Nagarajan, Marco Scutari and Sophie Lèbre ( ; 2013)

, by Marco Scutari and Jean-Baptiste Denis ( ; 2014)

, edited by Roberto Tamassia ( ; 2013)

, edited by Carl Knappett (2013; )

, by Wouter de Nooy, Andrej Mrvar and Vladimir Batagelj (2011; also and )

code

(using Python), by Maksim Tsvetovat and Alexander Kouznetsov ( ; 2011)

R package

, by Eric D. Kolaczyk and Gabor Csárdi ( ; 2014)

edited by Tom Brughmans, Anna Collar and Fiona Coward (2016; )

, by Linton C. Freeman, in English and several other languages (2004; )

, by Marten Düring, in German (2015; and )

Convened by the Cambridge Networks Network

Organized by the APSA Organized Section on Political Networks (PolNet)

Organized by the Network Science Society (NetSci)

Talk by at NetSci 2019

Organized by the International Network for Social Network Analysis (INSNA)

, by Rémy Cazabet (University Lyon 1 and ENS Lyon, 2022)

, by Peter Sheridan Dodds (University of Vermont, 2016; Twitter: )

, by Paul Van Dooren - Full lecture slides (Hamilton Institute, Dublin, 2009)

, by Christopher Griffin - Full lecture notes (Penn State University, 2012)

, by Dan Spielman (Yale University, 2013)

, by Aaron Clauset - Full lecture slides and readings (University of Colorado, 2022)

, by Cesar Hidalgo (MIT, 2011)

, by David Easley, Jon Kleinberg and Eva Tardos ( ; Cornell University via edX, 2016)

, by Mardavij Roozbehani and Evan Sadler (MIT, 2018)

, by Daron Acemoglu and Asu Ozdaglar (MIT, 2009)

, by Constantine Dovrolis - Mostly open access readings (Georgia Tech, 2015)

, by Zeev Maoz (University of California in Davis, 2012)

, by Matthew O. Jackson (Stanford University via Coursera, 2015)

, by Lada Adamic (University of Michigan via Coursera, not yet run)

and , by Matthew J. Denny - Workshop notes and slides (2014–5)

, by Andrej Mrvar (University of Ljubljana, 2016)

, by Dennis M. Feehan (University of Berkeley, 2017)

, by Jon Kleinberg - Links to many diverse readings (Cornell University, 2008)

Large “ .”

Bill Cosponsorship Networks in European Parliaments

Legislative cosponsorship networks, in R format

Large collection of networks described and indexed by Aaron Clauset’s research group

Comprehensive maps of neural connections

Hetionet: an integrative network of disease

A complex biological network, available in multiple formats, including JSON and

R data-centric package

Another R data-centric package

Ecological species interactions

Historical data on the international connections between 45 currencies

Includes, among other things, networks of collaboration in DBpedia and Wikipedia, GitHub ( )

Over 300 datasets of all sorts, in UCINET format

Online platform to analyze, archive and share ecological network data ( , , )

( )

Fully searchable database containing hundreds of real-world networks

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

Two-mode and one-mode data on gender representation in Norwegian firms

A database of movie characters interaction graphs

Network data obtained through the sensing platform

US state-to-state relational variables, including borders, travel, trade and more

Weighted network data

Ego-centric data (personal networks) from a five-year panel study

Network data in UCINET format

, in English and in French ( )

(INSNA). Twitter:

(INSNA).

Thematic Network of the French Sociological Association (AFS), in French ( )

Organized Section of the American Political Science Association (APSA). Twitter:

Standing Group of the European Consortium for Political Research. Twitter:

, in French - Research group based in Paris

, in French. Twitter:

( ). Twitter:

. Twitter:

. Twitter:

. Supports early-career network scientists. Twitter:

Research group studying social networks at the University of Southern California

Research group based at the University of Southern California School of Medicine

Research division within the Department of Medicine at Brigham and Women’s Hospital

Reading list from a seminar held at MIT in 2001–2

Led by Bruce A. Desmarais at Penn State University

. Twitter:

(NISS Lab) - Led by Skyler J. Cranmer at Ohio State University

( )

Features an graduate programme

Headed by Carter T. Butts. Part of the (CNRA) at the University of California in Irvine

Features a PhD in Network Science program

Led by Albert-László Barabási

Led by Alessandro Vespignani

Non-profit study group of ecological networks (“food webs”)

, by

Research network on complex networks

Focused on economic/organisational network analysis

Features a PhD in Network Science program

Research group based in Paris

Virtual collaboration between four complex networks research groups

Wroclaw-based research group that studies, among many things, complex networks and other network-related topics

Interdisciplinary group of researchers at the Marc Bloch Centre in Berlin, with many network science projects

, in German

– French research group with funds to support training and workshops on network analysis for social scientists

Platform for scholars interested in network analysis for historical research

Videos, in German

Russian group based at the National Research University in Moscow

Research group at the Catholic University of Louvain ( )

. Twitter:

Currently studies . Twitter:

Tokyo-based research group, studying bi-, tri- and k-partite (hyper)networks

Research network at the University of Toronto, led by Barry Wellman

Research Lab at McGill University, led by

Research group at IT University of Copenhagen

Historical research project on the connections between Jewish intellectuals

A research program on networks and regulation

Seminar based at Sciences Po in Paris, France

, in Spanish - Information network based at the Universitat Autònoma de Barcelona

, in French - Blog posts from a research group on historical networks

Interdisciplinary research group that uses wireless sensors to study social network data

Research platform based at the Austrian Academy of Sciences that focuses on applying network theory and visualisation to medieval history

Research and software development project located at the Australian National University

, in French ( , 2005)

, in French ( , 2014)

, in German ( ; , 2012)

( , 2015)

( ; , 2007)

, in French ( , 2015)

, in French and Spanish ( , 2011)

( , 2002)

(in , 2013)

( , 2014)

, in German ( , 2015)

( , 2014)

( , 2013)

( , 2012)

( , 2013)

( , 2013)

( , 2012)

( , 2016)

( , 2007)

( ; , 2013)

(APSA, 2014)

( , 2015)

( , 2014)

( , 2011)

( , 2013)

Accessible introduction to (cellular) network analysis ( , 2004)

( , 2011)

( , 1985)

Also includes an impressive list of network analysis software ( , 2013)

From network theory to complexity theory ( , 2007)

(special issue of , 2009)

( , 2019)

( , 2002)

( , 2003)

( ; , 2014)

(special issue of , 2005)

( , 2003)

( , 2012)

( , 2017)

( ; , 2010)

( , 2017)

( , 2012)

( , 1997)

( , 2011)

Book-length review ( ; , 2010)

( ; on “ ”)

( , 1999)

( , 2005)

( , 2009; )

( , 2013)

( , 2011)

( , 2012)

( , 2001)

(ESRC NCRM Discussion Paper, 2010)

( , 2011)

( , 2009)

( , 2009)

( , 2018)

( , 2014)

( , 2014)

( , 2011)

(PSC Working Paper Series, 2013)

( ; , 2011)

( , 2019)

Urban Social Networks: Some Methodological Problems and Possibilities ( , 1989)

, 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)

, by Steven M. Goodreau, James A. Kitts and Martina Morris - Accessible introduction to the logic and application of exponential random graph modeling ( , 2001)

, 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)

, by Travis Martin - Highly typical study of scientific publishing productivity and collaboration through temporal network analysis ( ; , 2013)

, by Jon Kleinberg - Discusses small-world effects and social contagion within the context of the Internet and social media ( , 2008)

, by Michael Eve ( ; , 2002)

, by Cosma R. Shalizi and Andrew C. Thomas - Makes a very important point for the analysis of network diffusion and influence ( , 2011)

, by Alain Barrat, in French - Accessible introduction to the study of complex networks ( , 2013)

, by Mustafa Emirbayer and Jeff Goodwin ( , 1994), and , by Mustafa Emirbayer ( , 1997) - Sociological foundations for a science of social ties

, by Franco Moretti - Example applications of (fictional) network analysis in literary studies ( , 2011)

, by Tore Opsahl, Filip Agneessens and John Skvoretz - Explores the generalization of network centrality and distance measures to (positively) valued graphs ( , 2010; )

, by Albert-László Barabási and Eric Bonabeau - Early, accessible formulation of the “networks are everywhere” argument ( , 2003)

, 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)

, 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)

, by Carter T. Butts - On choosing the right network representation to frame a research problem

, by John F. Padgett and Christopher K. Ansell - Classic analysis of power relations in the Renaissance Florentine state ( , 1993)

, by Mark Granovetter - Arch-classic example of applying network analysis to a social issue: jobseeking ( , 1973)

( , 2005) and ( , 2009), both by Marc Flandreau and Clemens Jobst - Network analysis of the foreign exchange system in the late 19th century ( )

, 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)

Network-based spatial analysis software for solving complex routing problems

Cross-platform Java program to identify clusters and communities through the Clique Percolation Method (CPM)

Cross-platform program to produce circular layouts of network data, written in Perl

Cross-platform Java program to build, analyze and visualize networks. Also a JavaScript library

Illustrated through an archaeological and geographical case study (2013)

Qualitative content analysis tool with network export facilities, written in Java with R integration

Windows program for ego network analysis

Cross-platform Java program for ego network analysis

Server-side software for social network data collection and processing

Online tool aimed at representing and sharing gene interaction networks as well as Petri net models

Cross-platform, free and open source tool for network visualization

, in German (2016)

(2015)

(2014)

Cross-platform tool intended for the prediction of human epidemics

Collaborative platform for mapping, analyzing and publishing data-networks

Cross-platform tool to visualize large and complex networks ( )

Cross-platform software to draw graphs in the DOT graph drawing language

Graphy

Graph theory library written in Ruby

module to perform graph-related parallel computation

Online tool to visualize and model networks with textual edges

Web-based tool for simple network analysis and visualization

Cross-platform program with graph theory and network analysis functionalities

IGraph/M

Interface to use the library from within Mathematica, using standard Mathematica objects

Free, open-source platform to draw networks, currently in beta

Cross-platform, free and open source tool to study multilayer networks, based on R and GNU Octave

Open source, scalable graph database, used by companies like

A free and open-source set of survey tools for ego-centric and personal network studies, including and a

Web-based tool to compute ’s node overlap and segregation measures

Web-based data management, network analysis and visualisation environment ( )

Free, open-source template to explore network graphs with Microsoft Excel

Series of blog posts on using NodeXL (2013)

Windows program for dynamic meta-network assessment and analysis

Web-based platform to analyze social media data, including through Twitter-based and co-occurrence networks

Windows program for large network analysis, free for noncommercial use

, in French (2011)

, in French (2012)

Web-based spatial network visualization tool by the at Stanford University

Excel-based tool for building networks from surveys

Windows program and C++ library to analyze planar graphs

Simulation and estimation of (one-mode and multilevel) exponential random graph models (ERGMs), written in Java for Windows

Web-based platform to both analyze network data as well as collect network data via relationship-based surveys

Cross-platform Java program for genealogical network analysis

qgis-edge-bundling

Implementation of force-directed edge bundling for the QGIS Processing toolbox

Set of tools intended for the analysis of complex networks, built on top of , a library written in Ada

Web application to share GEXF and GraphML network visualizations

Free open-source mathematics software with extensive

Cross-platform tool to build and visualize semantic graph databases

Simulation Investigation for Empirical Network Analysis. Formerly a Windows program, now developed as the RSiena R package

Cross-platform program that includes a to construct hyperlink networks

Tool to visualize dynamic or longitudinal network data. Formerly a ( ), now developed as the ndtv R package

Cross-platform tool to perform large-scale, distributed network computations with Apache Spark’s GraphX module; written in Java and Scala

Cross-platform program for the visualization and exploration of complex networks

Several Windows programs developed by the same team as Siena

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

Windows commercial software package for the analysis of social network data

Software suite for online (hyperlink) network analysis, by the research project

Web-based software for the collection and analysis of online network data

( ; to be discontinued in 2016)

R client for the VOSON software (in development)

Cross-platform program to download and visualize Usenet data.

Cross-platform Java program for ego network analysis

(also available in Spanish; 2011)

Cross-platform Java network analysis and visualization program, free for noncommercial use

Including one using an archaeological case study (2017)

Cross-platform Java program to visualize online social networks

Cross-platform Java tool for constructing and visualizing bibliometric networks

algo.graph

Basic graph theory algorithms written in Clojure

Algorithms to detect overlapping communities in networks, written in Java

Force-directed layout included in Gephi ( )

Linkcomm - Link Communities in Complex Networks

Community detection algorithms, available in C++, Python

Community detection method, available in C++ and R

Clustering algorithm

MATLAB and Python implementations of a

weighted-modularity-LPAwbPLUS

Julia, MATLAB and R implementations of two algorithms to find weighted modularity in bipartite networks

C++ code to generate weighted and unweighted graphs

C++ library that provides a generic interface to access graph structures

C library of network analysis tools; also exists as packages for Python and R

C++ code for the Infomap method of multilevel community detection

C++ code for the

C program designed for analyzing socio-semantic networks. Runs on Linux and Mac OS X

Self-contained C++ class library for diagram, network and tree layouts

C++ algorithm, also available as a

RAPIDS cuGraph

Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics

C++ general purpose network analysis and graph mining library. Available as a Python library and in Microsoft Excel via NodeXL

C++ program that implements the

GraphStore

In-memory graph structure implementation, powering Gephi

Java library for the modeling and analysis of dynamic graphs

Mixer

Prototype showing how to use to continuously merge multiple large graphs into a single derived one

Network analysis and visualization library

JavaScript visualization library that can plot

d3-force: Force-directed graph layout

using velocity Verlet integration

d3-vector: Define connections between nodes as directional vectors

, consisting of angles and magnitudes

JavaScript graphical tool to collect ego-centered network data ( )

Gephi Lite

Web-based, lighter version of Gephi

Visualization library to draw diagrams and several types of network layouts

Specification and reference implementation for a robust and multipurpose JavaScript object

Visualization library to build and manipulate graphs through a simple API. Powered by d3.js and

jLouvain

Louvain community detection for Javascript ( )

NetworkCube

"Dynamic Network Visualizations [for] Domain Scientists." For demo examples, see

Oligrapher

Library initially developed to visualise

Popoto.js

Library based on d3.js that provides a graph based search interface

JavaScript library dedicated to graph drawing

JavaScript library with network visualization capabilities

VivaGraphJS

Graph drawing library ( )

Use Graphviz in Web pages

BayesNets.jl

Package to work with Bayesian networks

Smile.jl

Julia wrapper for the , which covers Bayesian networks and influence diagrams

EcologicalNetwork.jl

Package to compute measures of ecological network structures

EvolvingGraphs

Package to create, manipulate and study time-dependent networks

Graphs.jl

Package to manipulate graph objects in Julia

MetaGraphs

Graph data structures with multiple heterogeneous metadata for Graphs.jl

Suite of Julia packages for network analysis

GraphVisualize.jl

Graph visualization built on top of

LightGraphs.jl

Graph library with a focus on performance and simplicity

LightGraphsExtras.jl

Community detection and other functionalities for the LightGraphs.jl package

NetworkLayout.jl

Layout algorithms for graphs and trees

Networks.jl

Additional graph functions for the LightGraphs.jl package

GraphCentrality.jl

Adds network measures to the Graphs.jl package

MatrixNetworks.jl

A method to handle graph/matrix/network structures

NetworkFlows.jl

Package of network flows algorithms

NetworkViz.jl

Package to visualize graphs produced with LightGraphs.jl, using

by its author at JuliaCon 2016

PhyloNetworks.jl

Package to manipulate, analyze and visualize phylogenetic networks

TikzGraphs

Package to create graph layouts using the TikZ graphics language

Toolbox for complex-network analysis of structural and functional brain-connectivity data, with links to many related projects

Random network toolbox that implements nine network models

Variant of the Louvain community detection algorithm

Graph library based on the C++ Boost Graph Library

Simulation und visualization of Random Boolean Networks

Python library for interactive data visualization in the browser, with support for networks

cdlib

Python community detection library, with 60+ methods and evaluation/visualization features

dash-cytoscape

Interactive network visualization library in Python, powered by Cytoscape.js and Dash

Python module for network manipulation and analysis, written mostly in C++ for speed

Python package aimed at generating graphs from data sources, built on top of

Python renderer for the DOT graph drawing language

graspologic

Python package for statistical algorithms, models, and visualization for single and multiple networks

Python utility for drawing networks as hive plots on matplotlib, a more comprehensive network visualization

karateclub

Python package for unsupervised learning on graph structured data with a scikit-learn like API

linkpred

Assess the likelihood of potential links in a future snapshot of a network

littleballoffur

Python package for sampling from graph structured data with a scikit-learn like API

Python package to turn bibliometrics data into authorship and citation networks

Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks

, using networkx and numpy (2014)

nxviz

Visualization package for NetworkX

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

Python algorithms for community detection in n-partite networks

parag

Interactive visualization of higher-order graphs in Python

PyGraphistry

Python library to extract, transform, and visually explore big graphs

Python version of the igraph network analysis package

A solid implementation of Louvain community detection algorithm

A platform for building and analysing temporal networks

RAPIDS cuGraph

Python packages and C/C++/CUDA libraries focused on GPU-accelerated graph analytics

rustworkx

A high performance Python graph library implemented in Rust

Fast graph algorithms based on sparse matrix representations

A Python interface for SNAP (a general purpose, high performance system for analysis and manipulation of large networks)

SnapVX

A convex optimization solver for problems defined on a graph

tnetwork

Python library for temporal networks, and dynamic community detection in particular

Python 3 library for temporal network analysis

Tools for multilayer social networks

. See for the R version

MATLAB/Python library to produce interactive network visualizations with d3.js

Additive and multiplicative effects models for relational data

Provides methods for binarizing a weighted network retaining only significant edges

Tools to analyse Bayesian exponential random graph models (BERGM). Related Twitter:

Functions to visualize bipartite (two-mode) networks and compute indices commonly used in ecological research. See also: R package

Implementats generalized blockmodeling for valued networks

Tools for ( )

Tools for performing graph theory analysis of brain MRI data

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

Statistical model for communication networks

concoR

Implementation of the CONCOR network blockmodeling algorithm ( )

ContentStructure

Implements an extension to the

DiagrammeR

Connects R, RStudio and JavaScript libraries to draw graph diagrams ( )

Computes distances on dual-weighted directed graphs, such as street networks, using priority-queue shortest paths

edgebundle

Edge bundling algorithms, useful to e.g. draw networks of transport maps

Tools for importing, analyzing and visualizing ego-centered network data, in various formats

Tools for simulating mathematical models of infectious disease dynamics ( )

Estimation of Exponential Random Graph Models (ERGMs)

Process analysis for ERGMs

ERGMs for small networks

Frailty ERGMs

Estimation and diagnosis of the convergence of Generalized Exponential Random Graph Models (GERGM)

Single-geometry approach to network visualization with

Multiple-geometries approach to plot network objects with

Grammar of graph graphics built in the spirit of . See also: R package

goldfish

Dynamic Network Actor-Oriented Model (DyNAM) for the statistical analysis of coordination networks through time

Layout algorithms based on the concept of

Estimate and simulate hierarchical exponential-family random graph models (HERGM) with local dependence

– Determine paths and states that social networks develop over time to form social hierarchies

A collection of network analysis tools

(2016)

ig.degree.betweenness

an igraph implementation of the community detection algorithm (2024)

Compute various node centrality network measures by Burt, Borgatti and others

Implements several network centrality measures

Latent position and cluster models for network objects

levelnet

Experimental package to analyze one-mode projections of bipartite (two-mode) networks. See also: R package

Linear programming model aimed at infering biological (signalling, gene) networks

Multilevel Exponential-Family Random Graph Models, to model nodes nested within known blocks

Functions to build and visualize all sorts of multigraphs

Random multigraph models, statistics of multigraph properties, and goodness of fit tests

Tools for multilayer social networks

, and . See for the Python version

Package to handle multilevel networks in

A set of tools that extend common social network analysis packages for analysing multimodal and multilevel networks

Tools to construct animated visualizations of dynamic network data in various formats

neo4r

Neo4J driver for R

Create d3.js network graphs from R

Tools to analyze the network diffusion of innovations

Up-to-date collection of network centrality indices, with lots of documentation

Includes a review of relevant R packages

(2018)

Various measures of network segregation and homophily

Simulate and combine micro-models to research their impact on the macro-features of social networks

netUtils

Various network functions and methods, e.g. computing the Cartesian product of two graphs or fitting a discrete core periphery model

Basic tools to manipulate relational data in R

networkdata

Includes 979 network datasets containing 2135 networks

networkdiffusion

Simulate and visualize basic epidemic diffusion in networks

Support for dynamic, (inter)temporal networks

Tools to simulate bipartite networksgraphs with the degrees of the nodes fixed and specified

Nonparametric estimation of preferential attachment and node fitness in temporal complex networks

Implements Partial Correlation with Information Theory in order to identify meaningful correlations in weighted networks, such as gene co-expression networks

Interface between R and recent versions of Cytoscape

Interface between R and Cytoscape.js

Tools to model and visualize psychometric networks; also aimed at weighted graphical models)

(2014)

(2012)

Tools to fit relational event models (REM)

Tools to create sequence statistics from event lists to be used in

Estimate endogenous network effects in event sequences and fit relational event models (REM), which measure how networks form and evolve over time

Export network objects from R to GEXF for manipulation with software like Gephi or Sigma

Support for using the Graphviz library and its DOT graph drawing language from within R

Simulation Investigation for Empirical Network Analysis; fits models to longitudinal network data

Methods to analyse signed networks (structural balance, blockmodeling, centrality, etc.)

Basic network constructors, measures and visualization tools

RStudio addin which provides a GUI to visualize and analyse networks

Tools for collecting social media data and generating networks from it ( , )

Computes the spectral goodness of fit (SGOF), a measure of how well a network model explains the structure of an observed network

Methods for visualizing spatial networks on maps in the class

Methods for spatial network analysis, including e.g. kernel density estimation, distances and point pattern analysis

The project behind many R network analysis packages ( , )

(2022)

(2010)

(2022)

Fit, simulate and diagnose models for temporal exponential-family random graph models (TERGM)

‘Tidy’ approach to building graph structures. See also: R package

Tools to fit temporal and cross-sectional network autocorrelation models (TNAM)

Network measures for weighted, two-mode and longitudinal networks

Tools for temporal social network analysis

visNetwork

Using vis.js library for network visualization

Extensions of exponential random graph models (ERGM, GERGM, TERGM, TNAM and REM)

( , )

Blog documenting the use of the netplot Stata package

Graph drawing syntax used by the Graphviz software

File format used by the Gephi software

Comprehensive and easy-to-use file format for graphs ( )

Java graph library for graph data structures and algorithms ( )

Extensible library to represent network objects

of vector graphics languages that can be used to draw graphs in the typesetting environment

Packages based on TikZ

Graph syntax used by the Tulip software framework

Graph query language used by

A tutorial for network centrality in R

(2023)

(2016)

(2022)

and JavaScript libraries (2016)

Aimed at humanists (2015)

Covers the igraph, network, ggraph, network, networkD3, ndtv, threejs and visNetwork packages (2019)

(2022)

Long list of diverse applications of network analysis, with shorts descriptions in Spanish

Awesome graph classification

Comprehensive list of graph embedding papers with title, authors, link to the paper and reference implementation

Awesome community detection

Comprehensive list of community detection papers with title, authors, link to the paper and reference implementation

Analysis of a real-world character network

Basic notions to remember when assembling and manipulating network data

Series of videos by historians, featuring Marten Düring and Scott Weingart

Online service to convert from/to many different common graph formats

20-minute interview that discusses the uses and benefits of network analysis, drawing upon Knoke’s research on terrorist networks

, spanning from 1955 to today

Research project on early-modern scholarship ( )

Videos of a conference at the Middlesex University School of Law (2014)

Video of a seminar talk by Jennifer Neville at Purdue University (2011)

International initiative aimed at improving network literacy

(@) - Twitter account on networks, graph theory, and related topics

DBPedia-derived networks of who-was-influenced-by-whom directed ties, using SPARQL and Gephi

(@) - A thematic list of Twitter accounts, curated by

Mailing-list (mostly historians from the HNR network)

Videos (and more) from a workshop at the Banff International Research Station (BIRS) (2015)

A proposed standard to turn any Web page into a “social graph object.”

Interactive periodic table of centrality indices

Community detection in the political network of Middle Eastern alliances between various state and nonstate powers ( )

Website with news, references and about network modeling for psychological data

3-day workshop on psychological network analysis using R (2019)

Paper on how psychiatric symptoms connec to each other ( )

Highly didactic Master’s dissertation, showing how to use SPARQL and Pajek

, in German

Also uses Gephi

and - Examples of scientific co-citation networks

and - Network analysis applied to American revolutionaries

Tons of beautiful network and tree visualizations ( , also in Chinese and French)

Historical network research projects at Harvard University

Tom Brughmans’ blog, aimed at archaeologists and historians

, in French

, in French

, in French

, by various contributors

Blog posts about networks on , an aggregator of R blogs:

on network-related topics, definitely worth listing in (selective) detail:

See also: (2019)

, a series of blog posts by Scott B. Weingart

, in English and German - Blog on the history of network analysis, by Sebastian Gießmann ( )

Blog posts focused on manipulating networks in R, by François Briatte

Valdis Krebs’ blog

Moses Boudourides’ blog on analyzing (mostly) networks with Python

Features a cluster analysis and a (using R + Shiny)

, plotted as an adjacency matrix, written in Python (+ Javascript)

(using R)

(using Python)

(using Python; )

Also an example of a social network analysis written in F#

( )

Reflections on the journal by its founding editor

Video documentary, featuring Steven H. Strogatz and many others

From :

How “network ” came up

, 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

Review of network science books published in 2002-2003

Prediction of the next highly cited papers in network science

Essay by Duncan J. Watts

First editorial of the recent journal

Research project on the collaborative ties and network distance between mathematicians

Discussion of “ degrees of separation” small-world experiments

Based on an that resulted in a

Video of a conference at Cornell University, featuring Duncan J. Watts, Steven H. Strogatz, Jon Kleinberg and other speakers

Example of a two-mode network analysis based on metal artists and bands

Interactive visualization of a well-documented early modern historical network

Wikipedia English entry

, in French (2013)

( , ; , 2008)

( )

(2012)