Effective information spreading based on local information in correlated networks.

ABSTRACT: Using network-based information to facilitate information spreading is an essential task for spreading dynamics in complex networks. Focusing on degree correlated networks, we propose a preferential contact strategy based on the local network structure and local informed density to promote the information spreading. During the spreading process, an informed node will preferentially select a contact target among its neighbors, basing on their degrees or local informed densities. By extensively implementing numerical simulations in synthetic and empirical networks, we find that when only consider the local structure information, the convergence time of information spreading will be remarkably reduced if low-degree neighbors are favored as contact targets. Meanwhile, the minimum convergence t

SUBMITTER: Gao L 

PROVIDER: S-EPMC5133588 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature