Igraph
Showing 14 of 14 projects
A curated list of community detection research papers with implementations.
A tidy API for graph manipulation in R, providing dplyr verbs and igraph algorithms for network analysis.
A Python meta-library for community detection in complex networks, implementing algorithms, fitness functions, and visualization.
Three.js widgets for creating interactive 3D visualizations in R and Shiny applications.
R package containing datasets and code examples for the book 'Statistical Analysis of Network Data with R, 2nd Edition'.
An R driver for Neo4j that enables reading and writing graph data directly from R.
An R package for performing graph theory analyses of brain MRI data from structural, DTI, and resting-state fMRI connectivity.
An R package providing 2,260 network datasets in igraph format from diverse sources like social networks, animal interactions, and movie co-stars.
An R package implementing multiple edge bundling, flow map, and metro map layout algorithms for network visualization.
A modern and flexible Neo4J driver for R that returns results as tibbles and integrates with tidyverse and graph packages.
IGraph/M is a Wolfram Language interface to the igraph network analysis library, extending Mathematica's graph theory capabilities.
An R package implementing the Smith-Pittman community detection algorithm using node degree and edge betweenness for igraph networks.
R code to generate co-citation networks for social network analysis and network science research across disciplines using Web of Science data.
A collection of network analysis helper functions for igraph in R, providing missing or niche utilities.
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