A Collaboration Network Model with Multiple Evolving Factors

• Published in: Chinese physics letters 2016-04, Vol.33 (4), p.159-162
• Main Author: 徐秀莲 刘春平 何大韧
• Format: Article
• Language: English
• Subjects: 动力学因子; 动力学因素; 协同; 合作网络; 控制网络; 经验数据; 网络模型; 网络演化
• ISSN: 0256-307X; 1741-3540
• DOI: 10.1088/0256-307X/33/4/048901

To describe the empirical data of collaboration networks, several evolving mechanisms have been proposed, which usually introduce different dynamics factors controlling the network growth. These models can reasonably reproduce the empirical degree distributions for a number of we11-studied real-world collaboration networks. On the basis of the previous studies, in this work we propose a collaboration network model in which the network growth is simultaneously controlled by three factors, including partial preferential attachment, partial random attachment and network growth speed. By using a rate equation method, we obtain an analytical formula for the act degree distribution. We discuss the dependence of the act degree distribution on these different dynamics factors. By fitting to the empirical data of two typical collaboration networks, we can extract the respective contributions of these dynamics factors to the evolution of each networks.