MultiMotif – Finding Statistically Significant labeled Motifs in multi-relational networks

MultiMotif

:: DESCRIPTION

MultiMotif is a tool for finding statistically significant labeled motifs in multi-relational networks with analytically derived p-values. MultiMotif uses a custom version of RI algorithm for counting occurrences of labeled motifs in a graph and implements an analytical model to assess motifs significance without generating random graphs. MultiMotif works on both directed and undirected networks and handle non-induced labeled motifs.

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::DEVELOPER

MultiMotif team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows
  • Java

:: DOWNLOAD

MultiMotif

:: MORE INFORMATION

Citation:

Micale G, Pulvirenti A, Ferro A, Giugno R, Shasha D (2019).
Fast methods for finding significant motifs on labelled multi-relational networks.
Journal of Complex Networks, doi:10.1093/comnet/cnz008

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