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dc.contributor.authorZhu, Wen-Yuanen_US
dc.contributor.authorPeng, Wen-Chihen_US
dc.contributor.authorChen, Ling-Jyhen_US
dc.date.accessioned2017-04-21T06:48:30Z-
dc.date.available2017-04-21T06:48:30Z-
dc.date.issued2014en_US
dc.identifier.isbn978-1-4799-6991-3en_US
dc.identifier.urihttp://hdl.handle.net/11536/136496-
dc.description.abstractIn 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.en_US
dc.language.isoen_USen_US
dc.titleExploiting Mobility for Location Promotion in Location-based Social Networksen_US
dc.typeProceedings Paperen_US
dc.identifier.journal2014 INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA)en_US
dc.citation.spage76en_US
dc.citation.epage82en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.identifier.wosnumberWOS:000380559500012en_US
dc.citation.woscount0en_US
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