Evolution of two properties for scale-free network

doi:10.1016/S1004-4132(06)60092-3

Journal of Systems Engineering and Electronics ›› 2006, Vol. 17 ›› Issue (3): 535-540.doi: 10.1016/S1004-4132(06)60092-3

• SYSTEMS ENGINEERING • Previous Articles Next Articles

Evolution of two properties for scale-free network

Li Showwei & Qian Xingsan

School of Management, Univ. of Shanghai for Science and Technology, Shanghai 200093, P. R of China

Online:2006-09-25 Published:2006-09-25

Abstract

Abstract:

Fitness of node can denote its competing power and clustering denotes the transitivity of network. Because 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. It can be found

that the fuzzy fitness of nodes may lead to multiscaling. Moreover, the clustering coefficient of node decays as pow-

er law and clustering coefficient of network behavior not-decrease-but-increase' phenomenon after some time. Some

computer simulation results of these models illustrate these analytical results.

Key words: color:#000000, font-family:", sans serif", ,tahoma,verdana,helvetica, font-size:12px, font-style:normal, font-weight:400, text-decoration:none, ">fuzzy fitness, clustering coefficient, power law distribution, scale-free

Li Showwei & Qian Xingsan.

Evolution of two properties for scale-free network

[J]. Journal of Systems Engineering and Electronics, 2006, 17(3): 535-540.

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Evolution of two properties for scale-free network

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