Exploiting mobility for location promotion in location-based social networks

Wen Yuan Zhu, Wen Chih Peng, Ling Jyh Chen

研究成果: 書貢獻/報告類型會議論文篇章

1 引文 斯高帕斯(Scopus)

摘要

In this paper, we target the location promotion problem in location-based social networks (LBSNs). The location promotion problem is given a location, we select a set of users as seeds to influence as many users as possible who are likely to visit a selected location. Specifically, we model the location promotion problem as an influence maximization problem on a graph and explore the independent cascading diffusion model on the graph. To determine the propagation probability of the edges of our proposed graph, the relation between users and the selected location should be detected. A property of LBSN is that the major reason of users visiting a location is based on their mobility. Therefore, we propose a mobility model DMM (Distance-based Mobility Model) to model each user's mobility. DMM exploits random walk with restart and the power law property of users' movements. Based on DMM and the selected location, the propagation probability of edges can be derived. In the evaluation, we show the performance of our proposed algorithms on two real datasets.

原文英語
主出版物標題DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics
編輯George Karypis, Longbing Cao, Wei Wang, Irwin King
發行者Institute of Electrical and Electronics Engineers Inc.
頁面76-82
頁數7
ISBN(電子)9781479969913
DOIs
出版狀態已發佈 - 2014 三月 10
事件2014 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2014 - Shanghai, 中国
持續時間: 2014 十月 302014 十一月 1

出版系列

名字DSAA 2014 - Proceedings of the 2014 IEEE International Conference on Data Science and Advanced Analytics

其他

其他2014 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2014
國家中国
城市Shanghai
期間2014/10/302014/11/01

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Information Systems and Management

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