Resource Sharing Behavior in a Socialized Peer-to-Peer Internet Environment

摘要：

Retrieving resources which are interesting,useful,relevant, and valuable to users is always a challenge for researchers and vendors of Information Retrieval in a Peer-to-Peer (P2PIR) environment.Current research of documentbased P2PIR focused mainly on the feasibility of extending IR operations and the concept of social network analysis (SNA) has been adopted as a methodology to model interrelationships among actors in ad hoc environments.The authors demonstrate the possibility to discover characteristics of users in a P2P environment by means of the Zipf long-tail distribution.It can efficiently categorize the shared information with small portions of its contents.The results indicate that for any document corpus shared by users in a P2P environment the long-tail distribution applies also.Since behavioral profiles of users can be systematically and efficiently discovered by analysis based on the long-tail distribution, the research result of this socialized approach to resource discovery in a P2P environment can provide a feasible and efficient solution.

关键词： Peer-to-Peer Information Retrieval Zipfs Law Long-tail Distribution Social Analysis

作者: Hsiang-Yuan Hsueh Jing-Shiuan Hua Shi-Ming Huang Hartmut J.Will

作者单位: Department of Information Management National Chung-Cheng University Chia-Yi,Taiwan Department of Accounting & Information Technology National Chung-Cheng University Chia-Yi,Taiwan School of Public Administration University of Victoria British Columbia,Canada

会议类型: 国际会议

会议名称: 第八届国际移动商务会议(Eighth International Conference on Mobile Business)

会议地点: 大连

会议语种:英文

页码: 131-136

在线出版日期: 2009-06-27（万方平台首次上网日期，不代表论文的发表时间）