Fuzzy fitness and clustering coefficient in evolving networks

被引：0
|
作者：
Li, SW [1 ]
Qian, XS [1 ]
机构：
[1] Shanghai Univ Sci & Technol, Coll Management, Shanghai 201800, Peoples R China
来源：
PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT, VOLS 1 AND 2: INDUSTRIAL ENGINEERING AND ENGINEERING MANAGEMENT IN THE GLOBAL ECONOMY | 2005年
关键词：
fuzzy fitness; mean-field theory; power law distribution; clustering coeffcient;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Nodes of network can increase their connectivity through competition according to their fitness. However the fitness of node is uncertain or fuzzy in some social networks. An explicit form of the degree distribution on fuzzy fitness is derived within a mean field approach. It is a weighted sum of different fuzzy fitness. We find that the fuzzy fitness of nodes can lead to multiscaling. The degree distribution is found to be in good agreement with results obtained by former paper. At last, the paper presents the analytical result of node clustering coefficient and some computer simulated results of these models illustrate these analytical results.
引用
收藏
页码：437 / 441
页数：5
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