Extended HK Evolving Network Model

摘要：

Based on Holme and Kim (HK) model, We propose an extended HK evolving network model including a triad formation step. Triad formation mechanism is extend among old nodes compared to the HK model, which settle the shortages of HK: there is no link evolution in old nodes and the numbers of links of a new node coming to network is fixed. Theoretical analyses and numerical simulations show that our model captures power-law distributions of node degree, as confirmed in several real-world systems. Moreover, in our model, the clustering coefficient is tunable simply by changing the expected number of triad formation step.

关键词： Scale-free network Clustering coefficient

作者: Yan Li Xiaolong Qian Dan Wang

作者单位: Benxi Steel Group Corporation, Benxi, 117000, China School of Information Science and Engineering, Northeastern University, Shenyang, 110004, China Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang, 110

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: 4112-4114

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）