Mining Mobile Phone Messages in Mobile Social Network

摘要：

A mobile social network plays an essential role as the spread of information and relationship. Mining the popular P2P messages in a short period of time is very valuable. Traditional mining method is not suitable for this very large scale dataset. In this paper, we present a mining approach based on MapReduce parallel framework. We use our metric to analyze point-to-point (p2p) messages within an organization to extract social hierarchy. We analyze the behavior of the communication patterns with taking into account the actual communication messages sent by users. Experimental results show that the final dataset of popular messages is very small with high sending coverage ratio. Empirical studies on a large real-world mobile social network show that performance of our algorithm.

关键词： mining social network MapReduce

作者: Wen Cui

作者单位: Computer Information Engineering Department, LuoYang Institute of Science and Technology, Luoyang, Henan, China

会议类型: 国际会议

会议名称: 2011 International Conference on Advanced Materials and Engineering Materials(2011先进材料与工程材料国际会议 ICAMEM 2011)

会议地点: 沈阳

会议语种:英文

页码: 130-133

在线出版日期: 2011-11-22（万方平台首次上网日期，不代表论文的发表时间）