Phase synchronization on small-world networks with community structure  

作　　者：王晓华 焦李成 吴建设 

机构地区：[1]Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Xidian University [2]Aeronautical Computing Technique Research Institute

出　　处：《Chinese Physics B》2010年第2期92-100,共9页中国物理B（英文版）

基　　金：supported in part by the National Natural Science Foundation of China (Grant Nos. 60673097, 60601029, 60672126and 60702062);the National High-Tech Research and Development Plan of China (Grant Nos. 2009AA12Z210, 2008AA01Z125,2007AA12Z136 and 2007AA12Z223);the National Research Foundation for the Doctoral Program of Higher Education of China (Grant Nos. 20060701007 and 20070701016);Ministry&Commission-Level Research Foundation of China (Grant Nos. XADZ2008159 and 51307040103)

摘　　要：In this paper, we propose a simple model that can generate small-world network with community structure. The network is introduced as a tunable community organization with parameter r, which is directly measured by the ratio of inter- to intra-community connectivity, and a smaller r corresponds to a stronger community structure. The structure properties, including the degree distribution, clustering, the communication efficiency and modularity are also analysed for the network. In addition, by using the Kuramoto model, we investigated the phase synchronization on this network, and found that increasing the fuzziness of community structure will markedly enhance the network synchronizability; however, in an abnormal region （r ≤ 0.001）, the network has even worse synchronizability than the case of isolated communities （r = 0）. Furthermore, this network exhibits a remarkable synchronization behaviour in topological scales： the oscillators of high densely interconnected communities synchronize more easily, and more rapidly than the whole network.In this paper, we propose a simple model that can generate small-world network with community structure. The network is introduced as a tunable community organization with parameter r, which is directly measured by the ratio of inter- to intra-community connectivity, and a smaller r corresponds to a stronger community structure. The structure properties, including the degree distribution, clustering, the communication efficiency and modularity are also analysed for the network. In addition, by using the Kuramoto model, we investigated the phase synchronization on this network, and found that increasing the fuzziness of community structure will markedly enhance the network synchronizability; however, in an abnormal region （r ≤ 0.001）, the network has even worse synchronizability than the case of isolated communities （r = 0）. Furthermore, this network exhibits a remarkable synchronization behaviour in topological scales： the oscillators of high densely interconnected communities synchronize more easily, and more rapidly than the whole network.

关 键 词：complex networks SMALL-WORLD community structure phase synchronization 

分 类 号：O157.5[理学—数学]