Read and Reply Behaviors in a BBS Social Network

摘要：

Understanding user read and reply behaviors are important both for the study of online social network properties and the modeling of information dissemination and trend prediction. Our dataset is crawled from a famous Chinese BBS social network. By analyzing the read and reply datas of users, we observe that distributions of discussion size and user participation level follow the power-law distribution, agreeing with former empirical and analytical investigations. But the distribution of user interest does not exhibit a power-law property. Statistics from hot posts show that read and reply behaviors vary among different topic categories. For every 100 users interested in a post, one or two of them in average would join the discussion. In addition, investigation concerning time property of replies shows that decay functions with periodical fluctuations are suitable to describe the short-term evolution.

关键词： onlmt social networks data analysis user behav-ior. BBS

作者: Fei Ding Yun Liu Hui Cheng Fei Xiong Xia-meng Si Bo Shen

作者单位: Key Laboratory of Communication and Information Systems Beijing Jiaotong University Beijing Municipal Commission of Education Beijing 100044 China

会议类型: 国际会议

会议名称: The 2nd IEEE International Conference on Advanced Computer Control(第二届先进计算机控制国际会议 ICACC 2010)

会议地点: 沈阳

会议语种:英文

页码: 571-576

在线出版日期: 2010-03-27（万方平台首次上网日期，不代表论文的发表时间）