Identification of leader and self-organizing communities in complex networks.

ABSTRACT: Community or module structure is a natural property of complex networks. Leader communities and self-organizing communities have been introduced recently to characterize networks and understand how communities arise in complex networks. However, identification of leader and self-organizing communities is technically challenging since no adequate quantification has been developed to properly separate the two types of communities. We introduced a new measure, called ratio of node degree variances, to distinguish leader communities from self-organizing communities, and developed a statistical model to quantitatively characterize the two types of communities. We experimentally studied the power and robustness of the new method on several real-world networks in combination of some of the existi

SUBMITTER: Fu J 

PROVIDER: S-EPMC5429660 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature