Who should I invite for my party? Combining user preference and influence maximization for social events

Yu, Z, Du, R, Guo, B, Xu, H, Gu, T, Wang, Z and Zhang, D 2015, 'Who should I invite for my party? Combining user preference and influence maximization for social events', in Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015), Osaka, Japan, 7-11 September 2015, pp. 879-883.


Document type: Conference Paper
Collection: Conference Papers

Title Who should I invite for my party? Combining user preference and influence maximization for social events
Author(s) Yu, Z
Du, R
Guo, B
Xu, H
Gu, T
Wang, Z
Zhang, D
Year 2015
Conference name UbiComp 2015
Conference location Osaka, Japan
Conference dates 7-11 September 2015
Proceedings title Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2015)
Publisher Associaion for Computing Machinery
Place of publication New York, United States
Start page 879
End page 883
Total pages 5
Abstract The newly emerging event-based social networks (EBSNs) extend social interaction from online to offline, providing an appealing platform for people to organize and participate realworld social events. In this paper, we investigate how to select potential participants in EBSNs from an event host's point of view. We formulate the problem as mining influential and preferable invitee set, considering from two complementary aspects. The first aspect concerns users' preference with respect to the event. The second aspect is influence maximization, which aims to influence the largest number of users to participate the event. In particular, we propose a novel Credit Distribution-User Influence Preference (CD-UIP) algorithm to find the most influential and preferable followers as the invitees. We collect a real-world dataset from a popular EBSNs called "Douban Events", and the experimental results on the dataset demonstrate the proposed algorithm outperforms the state-of-the-art prediction methods.
Subjects Ubiquitous Computing
Database Management
Human Information Behaviour
Keyword(s) event-based social networks
user preference
influence maximization
invitee set
CD-UIP
DOI - identifier 10.1145/2750858.2805839
Copyright notice © 2015 Association for Computing Machinery (ACM)
ISBN 9781450335744
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