Toward interests drift mechanism for social network

Yutao Zhang, Gongshen Liu, Jun Wu, Jianhua Li, Longhua Guo

研究成果: Conference contribution

抄録

In the real world, there are many complex networks with a certain number of nodes. Complex network theory has been used in many fields such as World Trade Web. As an important part of complex network, several social network models have been proposed to simulate the social networks in real world in the last decades. While there are plenty of characteristics and current models cannot describe them. In this paper, a new network model is proposed, whose name is the Interests Drift Network Model (IDNM). A network closed to real-life can be created by IDNM, because the formation of communities is based on nodes' various preference of fields of interest, and each node's interest fields may change every once in a while. In the experiments, we simulate the growing process of IDNM and measure some characteristics. It's shown that there are differences between IDNM and traditional network model: the parameters such as modularity and degree diversion are more similar to real-life networks.

本文言語English
ホスト出版物のタイトル2016 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications, SSIC 2016 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781509024704
DOI
出版ステータスPublished - 2016 9 19
外部発表はい
イベント2016 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications, SSIC 2016 - Paris, France
継続期間: 2016 7 182016 7 19

出版物シリーズ

名前2016 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications, SSIC 2016 - Proceedings

Conference

Conference2016 International Conference on Cyber Security of Smart Cities, Industrial Control System and Communications, SSIC 2016
国/地域France
CityParis
Period16/7/1816/7/19

ASJC Scopus subject areas

  • 産業および生産工学
  • コンピュータ ネットワークおよび通信
  • 制御およびシステム工学
  • 安全性、リスク、信頼性、品質管理

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