matlab-igraph

The igraph library provides a large number of efficient routines written in C and C++ for working with graphs. This toolbox wraps many of those routines for use inside MATLAB, extending igraph access to the MATLAB community.

This toolbox aims to follow MATLAB conventions and take advantage of MATLAB's builtin matrix syntax to make a seamless integration between igraph and MATLAB. Graphs can be represented by MATLAB's builtin graph classes (graph, and digraph) or as adjacency matrices using full or sparse matrices. Use of the graph classes provides additional features over raw matrices including the ability to represent multigraphs, attach attributes to the graph object, and use graph class methods. When these features aren't needed, matrices fit comfortably into the MATLAB environment, allowing use of MATLAB's simple matrix syntax. It's possible to generate graphs using MATLAB's builtin functions that work as is with igraph's routines and work with graphs created by igraph directly in MATLAB using the functions you are already familiar with.

matlab-igraph provides everything needed to produce extension toolboxes, allowing you to leverage the igraph C library to create new graph functions that work with MATLAB. The toolbox grants access to the mxIgraph C library to convert between igraph and MATLAB datatypes.

By using this toolbox as a dependency in another toolbox, the +igutils function are made available for working with graphs in a manner consistent with this toolbox. +igutils provides argument validators and methods for working with graph attributes independent of the graph representation.

As an example see the SpeakEasy2 toolbox.

If you publish results generated with the help of this package, make sure to cite igraph:

Csardi, G., & Nepusz, T. (2006). The igraph software package for complex network research. InterJournal, Complex Systems, 1695.

• igraph homepage
• igraph R package
• igraph python package
• igraph Mathmatica package
• igraph C library