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igraph: Network Analysis and Visualization
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 much more.
Getting started
Browse package contents
Package details |
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| Author | Gábor Csárdi [aut] (<https://orcid.org/0000-0001-7098-9676>), Tamás Nepusz [aut] (<https://orcid.org/0000-0002-1451-338X>), Vincent Traag [aut] (<https://orcid.org/0000-0003-3170-3879>), Szabolcs Horvát [aut] (<https://orcid.org/0000-0002-3100-523X>), Fabio Zanini [aut] (<https://orcid.org/0000-0001-7097-8539>), Daniel Noom [aut], Kirill Müller [aut, cre] (<https://orcid.org/0000-0002-1416-3412>), Maëlle Salmon [ctb], Michael Antonov [ctb], Chan Zuckerberg Initiative [fnd] |
| Maintainer | Kirill Müller <kirill@cynkra.com> |
| License | GPL (>= 2) |
| Version | 2.1.1 |
| URL | https://r.igraph.org/ https://igraph.org/ https://igraph.discourse.group/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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