From unweighted to weighted networks with local information

Xuelian Sun, Enmin Feng and Jianfeng Li

Physica A: Statistical Mechanics and its Applications, 2007, vol. 385, issue 1, 370-378

Abstract: In this paper, we analyze an evolving model with local information which can generate a class of networks by choosing different values of the parameter p. The model introduced exhibits the transition from unweighted networks to weighted networks because the distribution of the edge weight can be widely tuned. With the increase in the local information, the degree correlation of the network transforms from assortative to disassortative. We also study the distribution of the degree, strength and edge weight, which all show crossover between exponential and scale-free. Finally, an application of the proposed model to the study of the synchronization is considered. It is concluded that the synchronizability is enhanced when the heterogeneity of the edge weight is reduced.

Keywords: Local information; Weighted networks; Complex networks; Disordered systems (search for similar items in EconPapers)
Date: 2007
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:385:y:2007:i:1:p:370-378

DOI: 10.1016/j.physa.2007.06.022

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