arXiv Analytics

Sign in

arXiv:cond-mat/0403660AbstractReferencesReviewsResources

Modularity from Fluctuations in Random Graphs and Complex Networks

Roger Guimera, Marta Sales-Pardo, Luis A. N. Amaral

Published 2004-03-26, updated 2004-08-24Version 2

The mechanisms by which modularity emerges in complex networks are not well understood but recent reports have suggested that modularity may arise from evolutionary selection. We show that finding the modularity of a network is analogous to finding the ground-state energy of a spin system. Moreover, we demonstrate that, due to fluctuations, stochastic network models give rise to modular networks. Specifically, we show both numerically and analytically that random graphs and scale-free networks have modularity. We argue that this fact must be taken into consideration to define statistically-significant modularity in complex networks.

Related articles: Most relevant | Search more
arXiv:1012.0203 [cond-mat.dis-nn] (Published 2010-12-01)
Enhancing synchronization by directionality in complex networks
arXiv:cond-mat/0401074 (Published 2004-01-07, updated 2004-09-06)
Cascade control and defense in complex networks
arXiv:cond-mat/0301086 (Published 2003-01-08)
Cascade-based attacks on complex networks