Composing activity groups in social networks

Cheng-Te Li, Man Kwan Shan

研究成果: Conference contribution

15 引文 斯高帕斯(Scopus)

摘要

One important function of current social networking services is allowing users to initialize different kinds of activity groups (e.g. study group, cocktail party, and group buying) and invite friends to attend in either manual or collaborative manners. However, such process of group formation is tedious, and could either include inappropriate group members or miss relevant ones. This work proposes to automatically compose the activity groups in a social network according to user-specified activity information. Given the activity host, a set of labels representing the activity's subjects, the desired group size, and a set of must-inclusive persons, we aim to find a set of individuals as the activity group, in which members are required to not only be familiar with the host but also have great communications with each other. We devise an approximation algorithm to greedily solve the group composing problem. Experiments on a real social network show the promising effectiveness of the proposed approach as well as the satisfactory human subjective study.

原文English
主出版物標題CIKM 2012 - Proceedings of the 21st ACM International Conference on Information and Knowledge Management
頁面2375-2378
頁數4
DOIs
出版狀態Published - 2012 十二月 19
事件21st ACM International Conference on Information and Knowledge Management, CIKM 2012 - Maui, HI, United States
持續時間: 2012 十月 292012 十一月 2

出版系列

名字ACM International Conference Proceeding Series

Other

Other21st ACM International Conference on Information and Knowledge Management, CIKM 2012
國家United States
城市Maui, HI
期間12-10-2912-11-02

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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