Parallel discovery of network motifs

  title={Parallel discovery of network motifs},
  author={Pedro Manuel Pinto Ribeiro and Fernando M. A. Silva and Lu{\'i}s M. B. Lopes},
  journal={J. Parallel Distrib. Comput.},
Many natural structures can be naturally represented by complex networks. Discovering network motifs, which are overrepresented patterns of inter-connections, is a computationally hard task related to graph isomorphism. Sequential methods are hindered by an exponential execution time growth when we increase the size of motifs and networks. In this article we study the opportunities for parallelism in existing methods and propose new parallel strategies that adapt and extend one of the most… CONTINUE READING
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Publications referenced by this paper.
Showing 1-10 of 48 references

Efficient Detection of Network Motifs

IEEE/ACM Transactions on Computational Biology and Bioinformatics • 2006
View 5 Excerpts
Highly Influenced

Network motifs: simple building blocks of complex networks.

Science • 2002
View 5 Excerpts
Highly Influenced


M. Schatz, E. Cooper-Balis
Bazinet, Parallel network motif finding • 2008
View 4 Excerpts
Highly Influenced

Practical graph isomorphism, II

J. Symb. Comput. • 2014
View 1 Excerpt

Efficient Parallel Subgraph Counting Using G-Tries

2010 IEEE International Conference on Cluster Computing • 2010
View 3 Excerpts

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