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  1. 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, …

  2. 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 …

  3. igraph (R interface)

    igraph is a fast and open source library for the analysis of graphs or networks. The library consists of a core written in C and bindings for high-level languages including R, Python, and Mathematica.

  4. Network Analysis and Visualization • igraph

    For an overview of igraph’s functionality see the reference index. It includes experimental functions on which we especially welcome feedback (but feedback on any function is appreciated)!

  5. The main goals of the igraph library is to provide a set of data types and functions for 1) pain-free implementation of graph algorithms, 2) fast handling of large graphs, with millions of vertices and …

  6. R igraph manual pages

    R igraph manual pages Use this if you are using igraph from R

  7. Graph analysis — igraph 1.0.0 documentation

    Graph analysis igraph enables analysis of graphs/networks from simple operations such as adding and removing nodes to complex theoretical constructs such as community detection. Read the API …

  8. Package index • igraph

    Package index igraph options igraph_options() igraph_opt() Parameters for the igraph package with_igraph_opt() Run code with a temporary igraph options setting

  9. igraph_star — Creates a star graph, every vertex connects only to the center. .. 287 igraph_wheel — Creates a wheel graph, a union of a star and a cycle graph. .... 288 igraph_hypercube — The n …

  10. igraph Reference Manual

    This manual is for igraph, version 1.0.1-1-g2329c0ed9. Copyright (C) 2005-2019 Gábor Csárdi and Tamás Nepusz. Copyright (C) 2020-2025 igraph development team.