Community structure detection for overlapping modules through mathematical programming in protein interaction networks.
Ontology highlight
ABSTRACT: Community structure detection has proven to be important in revealing the underlying properties of complex networks. The standard problem, where a partition of disjoint communities is sought, has been continually adapted to offer more realistic models of interactions in these systems. Here, a two-step procedure is outlined for exploring the concept of overlapping communities. First, a hard partition is detected by employing existing methodologies. We then propose a novel mixed integer non linear programming (MINLP) model, known as OverMod, which transforms disjoint communities to overlapping. The procedure is evaluated through its application to protein-protein interaction (PPI) networks of the rat, E. coli, yeast and human organisms. Connector nodes of hard partitions exhibit topological
SUBMITTER: Bennett L
PROVIDER: S-EPMC4239042 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
ACCESS DATA