中国物理B ›› 2012, Vol. 21 ›› Issue (11): 118902-118902.doi: 10.1088/1674-1056/21/11/118902

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

Modeling online social networks based on preferential linking

胡海波a, 郭进利b, 陈骏a   

  1. a Department of Management, East China University of Science and Technology, Shanghai 200237, China;
    b School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 收稿日期:2012-04-05 修回日期:2012-05-09 出版日期:2012-10-01 发布日期:2012-10-01
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 61104139, 70871082, and 71101053) and the ECUST for Excellent Young Scientists, China.

Modeling online social networks based on preferential linking

Hu Hai-Bo (胡海波)a, Guo Jin-Li (郭进利)b, Chen Jun (陈骏 )a   

  1. a Department of Management, East China University of Science and Technology, Shanghai 200237, China;
    b School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China
  • Received:2012-04-05 Revised:2012-05-09 Online:2012-10-01 Published:2012-10-01
  • Contact: Hu Hai-Bo E-mail:sdhuzi@163.com
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 61104139, 70871082, and 71101053) and the ECUST for Excellent Young Scientists, China.

摘要: We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates the mechanism of network growth and reproduces the process of network evolution. Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network. This work provides a possible bridge between the micro-mechanisms of network growth and the macrostructures of the online social networks.

关键词: online social network, preferential linking, model, power law

Abstract: We study the phenomena of preferential linking in a large-scale evolving online social network and find that the linear preference holds for preferential creation, preferential acceptance, and preferential attachment. Based on the linear preference, we propose an analyzable model, which illustrates the mechanism of network growth and reproduces the process of network evolution. Our simulations demonstrate that the degree distribution of the network produced by the model is in good agreement with that of the real network. This work provides a possible bridge between the micro-mechanisms of network growth and the macrostructures of the online social networks.

Key words: online social network, preferential linking, model, power law

中图分类号:  (Social and economic systems)

  • 89.65.-s
89.75.Hc (Networks and genealogical trees) 02.50.-r (Probability theory, stochastic processes, and statistics)