Dynamical Evolution of Weighted Scale-free Network Models

摘要：

Inspired by the weighted network model proposed by Barrat, Barthélemy, and Vespignani (BBV), we construct a new evolving model that characterizes the weighted scale-free networks with community structure by adjusting one parameter. In the process of the evolution, a new node or a new community with a probability is added to the network, and new links are added to the network according to the strength preferential attachment rule. Theoretical analyses and numerical simulations show that our model captures power-law distributions of node strengths and link weights, as confirmed in several real-world systems.

关键词： Scale-free network Weighted network

作者: Dan Wang Xiaolong Qian Xiaozheng Jin

作者单位: Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang, 110 School of Information Science and Engineering, Northeastern University, Shenyang, 110004, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 479-482

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）