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.

Package details

AuthorGábor 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], Chan Zuckerberg Initiative [fnd]
MaintainerKirill Müller <kirill@cynkra.com>
LicenseGPL (>= 2)
URL https://r.igraph.org/ https://igraph.org/ https://igraph.discourse.group/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the igraph package in your browser

Any scripts or data that you put into this service are public.

igraph documentation built on Aug. 10, 2023, 9:08 a.m.