Document Type
Article
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.
Publication Info
Published in Physical Review E, Volume 78, Issue 1, 2008, pages 016113-1-016113-7.
Gudkov, V., Montealegre, V., Nussinov, S., and Nussinov, Z. (2008). Community detection in complex networks by dynamical simplex evolution. Physical Review E, 78(1), 016113-1 - 016113-7. doi: 10.1103/PhysRevE.78.016113
© 2008 The American Physical Society.
Rights
Gudkov, V., Montealegre, V., Nussinov, S., and Nussinov, Z. (2008). Community detection in complex networks by dynamical simplex evolution. Physical Review E, 78(1), 016113-1 - 016113-7. doi: 10.1103/PhysRevE.78.016113
© 2008 The American Physical Society.