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Evolving networks: from topology to dynamics
引用本文:Zhengping FAN,Guanrong CHEN,King Tim KO. Evolving networks: from topology to dynamics[J]. 控制理论与应用(英文版), 2004, 2(1): 60-64. DOI: 10.1007/s11768-004-0024-8
作者姓名:Zhengping FAN  Guanrong CHEN  King Tim KO
作者单位:DepartmentofElectronicEngineering,CityUniversityofHongKong,HongKongSAR,China
基金项目:This work was supported by the Hong Kong Research Grants Council under the CERG Grants CityU 1031/01E and 1115/03E.
摘    要:A multi-local-world model is introduced to describe the evolving networks that have a localization property such as the Intemet. Based on this model, we show that the traffic load defined by “betweenness centrality” on the multi-local-world scale-flee networks‘ model also follows a power law form. In this kind of network, a few vertices have heavier loads and so play more important roles than the others in the network.

关 键 词:进化网络 动力学 中间状态 复杂网络
收稿时间:2004-01-13

Evolving networks: from topology to dynamics
Zhengping FAN,Guanrong CHEN,King Tim KO. Evolving networks: from topology to dynamics[J]. Journal of Control Theory and Applications, 2004, 2(1): 60-64. DOI: 10.1007/s11768-004-0024-8
Authors:Zhengping FAN  Guanrong CHEN  King Tim KO
Affiliation:Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China
Abstract:A multi-local-world model is introduced to describe the evolving networks that have a localization property such as the Internet. Based on this model, we show that the traffic load defined by "betweenness centrality" on the multi-local-world scale-free networks' model also follows a power law form. In this kind of network, a few vertices have heavier loads and so play more important roles than the others in the network.
Keywords:Evolving network   Multi-local-world model   Betweenness centrality
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