An optimal algorithm for counting network motifs

Royi Itzhack, Yelena Mogilevski and Yoram Louzoun

Physica A: Statistical Mechanics and its Applications, 2007, vol. 381, issue C, 482-490

Abstract: Network motifs are small connected sub-graphs occurring at significantly higher frequencies in a given graph compared with random graphs of similar degree distribution. Recently, network motifs have attracted attention as a tool to study networks microscopic details. The commonly used algorithm for counting small-scale motifs is the one developed by Milo et al. This algorithm is extremely costly in CPU time and actually cannot work on large networks, consisting of more than 100,000 edges on current CPUs.

Keywords: Graph; Networks; Motif; Algorithm (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:381:y:2007:i:c:p:482-490

DOI: 10.1016/j.physa.2007.02.102

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