
igraph – Network analysis software
Dec 26, 2025 · igraph is a collection of network analysis tools with the emphasis on efficiency, portability and ease of use. igraph is open source and free. igraph can be programmed in R, Python, …
GitHub - igraph/igraph: Library for the analysis of networks
igraph is a C library for complex network analysis and graph theory, with emphasis on efficiency, portability and ease of use. See https://igraph.org for installation instructions and documentation.
The Comprehensive R Archive Network
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igraph - Wikipedia
igraph was originally developed by Gábor Csárdi and Tamás Nepusz. [4] It is written in the C programming language in order to achieve good performance and it is freely available under GNU …
Network Analysis and Visualization • igraph
Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and …
igraph package - RDocumentation
igraph (version 1.3.5) Network Analysis and Visualization Description Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random …
Tutorial — igraph 1.0.0 documentation
igraph can be used to create publication-quality plots by asking the plot() function to save the plot into a file instead of showing it on a screen. This can be done simply by passing the target filename as an …
igraph: Network Analysis and Visualization
Oct 25, 2025 · Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality …
Releases · igraph/igraph - GitHub
Dec 26, 2025 · 🎉 Nearly twenty years after the first igraph release, igraph 1.0 has finally arrived. 🎉. This release focuses on providing a stable and more consistent interface that users and downstream …
GitHub - igraph/rigraph: igraph R package
igraph R package. Contribute to igraph/rigraph development by creating an account on GitHub.