A simple phenomenological model for time evolution of social networks

被引:0
|
作者
Jiang, J. [1 ,2 ]
Wang, Q. A. [3 ]
Li, W. [4 ]
Cai, X. [4 ]
机构
[1] Wuhan Text Univ, Res Ctr Nonlinear Sci, Wuhan 430200, Peoples R China
[2] Wuhan Text Univ, Coll Math & Comp Sci, Wuhan 430200, Peoples R China
[3] Inst Super Mat & Mecan Avances, F-72000 Le Mans, France
[4] Hua Zhong Cent China Normal Univ, Complex Sci Ctr, Inst Particle Phys, Wuhan 430079, Peoples R China
关键词
COMPLEX NETWORKS; COMMUNITY STRUCTURE;
D O I
10.1088/1742-6596/604/1/012010
中图分类号
O59 [应用物理学];
学科分类号
摘要
Inspired by the maxim "long union divides and long division unites", a phenomenological model with the simplification of real social networks is proposed to explore the evolutionary features of these networks composed of the entities whose behaviors are dominated by two events: union and division. The nodes are endowed with some attributes such as identity, ingredient, richness, age and internal diversity, which determine collectively the evolution in a probabilistic way. Through the local interaction of two events, a stationary state of network is reached as a constant amount of nodes survive with no more event happened in the network, like a situation of tripartite confrontation. Besides, the number of survived nodes and the speed of network evolution can be controlled by two parameters.
引用
收藏
页数:8
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