title: 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 time depends non-monotonically on degree-degree correlation, and a moderate correlation coefficient results in the most efficient information spreading. Incorporating the local informed density information into contact strategy, the convergence time of information spreading can be further reduced, and be minimized by an moderately preferential selection.
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Lei
authors.initials: L
authors.lastname: Gao
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Wang
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Liming
authors.initials: L
authors.lastname: Pan
authors.affiliation: Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, China.|Big Data Research Center, University of Electronic Science and Technology of China, Chengdu 610054, China.
authors.forename: Ming
authors.initials: M
authors.lastname: Tang
authors.affiliation: School of Mathematical Science, Anhui University, Hefei 230601, China.
authors.forename: Hai-Feng
authors.initials: HF
authors.lastname: Zhang