Discovering leaders from social network by action cascade

This paper proposes an approach to discover community leaders in a social network by means of a probabilistic time-based graph propagation model. In the study, community leaders are defined as those people who initiate a lot of influence chains according to the number of chains they belong to. To co...

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Veröffentlicht in:	Social network analysis and mining 2014-12, Vol.4 (1), p.165, Article 165
Hauptverfasser:	Tsai, Ming-Feng, Tzeng, Chih-Wei, Lin, Zhe-Li, Chen, Arbee L. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Action Algorithms Applications of Graph Theory and Complex Networks Citations Community Computer Science Data mining Data Mining and Knowledge Discovery Datasets Economics Experiments Game Theory Humanities Law Leadership Methodology of the Social Sciences Miners Original Article Probability Propagation Social and Behav. Sciences Social networks Statistics for Social Sciences
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