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Discovery of core-nodes in event-based social networks

Citation

Yuan, S and Bai, Q and Zhang, M and Win, KT, Discovery of core-nodes in event-based social networks, Proceedings of the 6th International Conference on Fuzzy Systems and Knowledge Discovery, 14-16 August 2009, Tianjin, China, pp. 430-434. ISBN 9780769537351 (2009) [Refereed Conference Paper]

Copyright Statement

Copyright 2009 IEEE

DOI: doi:10.1109/FSKD.2009.335

Abstract

Most 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.

Item Details

Item Type:Refereed Conference Paper
Keywords:knowledge discovery, event-based social network, data mining, ranking
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Pattern recognition
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140721
Year Published:2009
Deposited By:Information and Communication Technology
Deposited On:2020-09-02
Last Modified:2020-10-27
Downloads:0

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