title: Community detection in complex networks by dynamical simplex evolution.
abstract: We benchmark the dynamical simplex evolution (DSE) method with several of the currently available algorithms to detect communities in complex networks by comparing correctly identified nodes for different levels of "fuzziness" of random networks composed of well-defined communities. The potential benefits of the DSE method to detect hierarchical substructures in complex networks are discussed.
authors.affiliation: Department of Physics and Astronomy, University of South Carolina, Columbia, South Carolina 29208, USA.
authors.forename: V
authors.initials: V
authors.lastname: Gudkov
authors.forename: V
authors.initials: V
authors.lastname: Montealegre
authors.forename: S
authors.initials: S
authors.lastname: Nussinov
authors.forename: Z
authors.initials: Z
authors.lastname: Nussinov