Communication structure discovery via information asymmetry in an organizational social network

Cheng-Te Li, Shou De Lin

研究成果: Conference contribution

摘要

In an organization, based on the positions of employees there is usually an existing hierarchy among them. However, in real-life cases, people's interactions tend to form a certain communication structure due to some external forces or personal factors. In this paper, we aim at discovering the potential communication structure, in which nodes are typed labels (e.g. job-titles) and edges stand for tight interactions between typed labels in an organizational social network. To tackle this problem, we propose to exploit the concept of information asymmetry to model the core-periphery property in the communication structure. The proximity asymmetry is defined to realize the information asymmetry. We also devise two random-walk methods to calculate the proximity asymmetry between typed labels. The experiments conducted on the Enron email dataset shows that the proposed method outperforms some heuristic ones.

原文English
主出版物標題2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
頁面524-527
頁數4
DOIs
出版狀態Published - 2010 十二月 13
事件2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010 - Toronto, ON, Canada
持續時間: 2010 八月 312010 九月 3

出版系列

名字Proceedings - 2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
1

Other

Other2010 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2010
國家Canada
城市Toronto, ON
期間10-08-3110-09-03

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Software

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