EUSN-co-citation-networks

Network analysis project

Analyzes co-citation networks of researchers across social sciences and physics/computer science fields using Web of Science data.

R code to get co-citation networks on social networks in the social sciences vs physics and computer science using Web of Science data.

GitHub

21 stars
5 watching
12 forks
Language: R
last commit: almost 10 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
usccana/netdiffuser Analyzes diffusion and contagion processes on networks using statistical analysis, visualization, and simulation. 86
kolaczyk/sand An R package providing tools and datasets for statistical analysis of network data, covering various aspects from basic manipulation to modeling and prediction. 294
schochastics/levelnet An R package to analyze two-mode networks and extract their binary backbone. 9
sherylhyx/sssnet_signed_clustering Semi-supervised signed network clustering algorithm 23
cwatson/braingraph Analyzes brain MRI data to reveal complex connections between brain regions 178
matthewjdenny/ccas Provides tools for modeling and analyzing communication network data using statistical models. 5
sergio-gomez/radalib An Ada library providing tools and data structures for the analysis of complex networks. 11
luukvdmeer/sfnetworks A package for analyzing geospatial networks in R 349
benedekrozemberczki/sgcn An implementation of a deep learning algorithm for graph data 268
schochastics/networkdata Provides access to a collection of network datasets in igraph format 142
udst/pandana Fast network analysis library using contraction hierarchies for accessibility metrics and shortest paths 387
robertsdionne/neural-network-papers A curated collection of research papers on neural networks and deep learning 1,957
csirtunicamp/flowsscripts A collection of scripts and tools for analyzing network traffic and security-related data 1
stocnet/goldfish Software package for statistical modeling of dynamic network data 61
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 333