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Discovery of core-nodes in event-based social networks
conference contribution
posted on 2023-05-23, 14:46 authored by Yuan, S, Quan BaiQuan Bai, Zhang, M, Win, KTMost previous actor-node ranking algorithms for event-based social networks only consider how many events an actor participates in. However in event-based social networks, we should also consider the influence of events when we rank actor-nodes. In this paper we formally define event-based social networks and related concepts, then we propose rules to construct an event-based social network. Algorithms are presented to discover the activity and importance of each actornode. We test the algorithms by analysing the DBLP data set. In the experiment actors in DBLP data set are ranked based on their activity, importance, and combination of activity and importance, respectively.
History
Publication title
Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge DiscoveryPagination
430-434ISBN
9780769537351Department/School
School of Information and Communication TechnologyPublisher
Institute of Electrical and Electronics EngineersPlace of publication
United StatesEvent title
6th International Conference on Fuzzy Systems and Knowledge DiscoveryEvent Venue
Tianjin, ChinaDate of Event (Start Date)
2009-08-14Date of Event (End Date)
2009-08-16Rights statement
Copyright 2009 IEEERepository Status
- Restricted