X-RIME: HADOOP-BASED LARGE-SCALE SOCIAL NETWORK ANALYSIS

摘要：

With the fast development of Social Networking Sites (SNS) such as Renren, Facebook, etc., Social Network Analysis (SNA) is becoming a hot research area. However, considering a typical SNS consists of millions to tens of millions of ultra-large-scale data sets, how to deal with such large-scale Social Network (SN) data sets becomes a great challenge for existing SNA tools. Towards this problem, this paper proposes X-RIME: a Hadoop-based analysis tool for large-scale social network. We show that X-RIME can efficiently deal with large-scale data sets, with great expandability and universality. We also briefly analyze the necessary features for an algorithm to be implemented with MapReduce programming model, in a distributed and concurrent way. Finally, we demonstrate the SNA abilities of X-RIME with extensive experiment results.

关键词： SN SNA X-RIME large scale data sets HADOOP Cloud Computing

作者: Kai Shuang Yin Yang Bin Cai Zhe Xiang

作者单位: State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecomm State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecom

会议类型: 国际会议

会议名称: 2010 3rd IEEE International Conference on Broadband Network & Multimedia Technology(2010年第三届IEEE宽带网络与多媒体国际会议 IC-BNMT 2010)

会议地点: 北京

会议语种:英文

页码: 901-906

在线出版日期: 2010-10-26（万方平台首次上网日期，不代表论文的发表时间）