Competition and fitness in one-mode collaboration network

被引:5
|
作者
Wang, Long [1 ]
Ma, Yinghong [1 ]
机构
[1] Shandong Normal Univ, Sch Management Sci & Engn, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
Collaboration network; Degree distribution; Fitness-driven preferential attachment; Mean-field approach; One-mode RDP model; INTERNET;
D O I
10.1016/j.cnsns.2015.01.019
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The fitness to compete for links is a very critical factor to decide the rate that nodes increase their connectivity in a network. In this paper, the node degree distribution of one-mode collaboration model (one-mode RDP model) is researched by mean-field approach and we obtain the node degree distribution of this model is a power-law distribution for large enough node degree k. Some numerical simulations are made to verify the feasibility of the node degree distribution for this model. Then we improve the one-mode RDP model for the competitive evolving network and come up with a model that is one-mode RDP model based on fitness-driven preferential attachment (we call this model one-mode RDP model with fitness). We discover that the fitter nodes can acquire more connectivity and the dynamic exponent depends on the fitness eta. By calculating the dynamic exponent alpha(eta), a general expression for the node degree distribution of one-mode RDP network with fitness is acquired. Given the fitness distribution rho(eta), the explicit form of the node degree distribution can also be obtained. The analytical predictions are found to be in good agreement with the experimental results derived by numerical simulations. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:136 / 144
页数:9
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