Networks of motifs from sequences of symbols
Molecular Networks
2010-10-27 v2 Data Analysis, Statistics and Probability
Physics and Society
Genomics
Abstract
We introduce a method to convert an ensemble of sequences of symbols into a weighted directed network whose nodes are motifs, while the directed links and their weights are defined from statistically significant co-occurences of two motifs in the same sequence. The analysis of communities of networks of motifs is shown to be able to correlate sequences with functions in the human proteome database, to detect hot topics from online social dialogs, to characterize trajectories of dynamical systems, and might find other useful applications to process large amount of data in various fields.
Keywords
Cite
@article{arxiv.1002.0668,
title = {Networks of motifs from sequences of symbols},
author = {Roberta Sinatra and Daniele Condorelli and Vito Latora},
journal= {arXiv preprint arXiv:1002.0668},
year = {2010}
}
Comments
Accepted for publication in Phys. Rev. Lett. Main article 4 pages, 2 figure; supplementary material 4 pages, 1 figure