ZHANG, Yang ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
PANG, Jun ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Community-Driven Social Influence Analysis and Applications
Date de publication/diffusion :
2015
Nom de la manifestation :
15th International Conference on Web Engineering (PhD Symposium)
Date de la manifestation :
2015
Manifestation à portée :
International
Titre de l'ouvrage principal :
Proceedings of the 15th International Conference on Web Engineering
Tang, J., Chang, Y., Liu, H.: Mining social media with social theories: a survey. SIGKDD Explorations Newsletter 15(2), 20-29 (2014)
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Kempe, D., Kleinberg, J., Tardos, E.: Maximizing the spread of influence through a social network. In: Proc. 9th ACM Conference on Knowledge Discovery and Data Mining (KDD), pp. 137-146. ACM Press, New York (2003)
Goyal, A., Bonchi, F., Lakshmanan, L.V.: Learning influence probabilities in social networks. In: Proc. 3rd ACM International Conference on Web Search and Data Mining (WSDM), pp. 241-250. ACM Press, New York (2010)
Pang, J., Zhang, Y.: Exploring communities for effective location prediction (poster paper). In: Proc. 24th World Wide Web Conference (Companion Volume) (WWW). ACM Press, New York (2015) (accepted)
Lou, T., Tang, J.: Mining structural hole spanners through information diffusion in social networks. In: Proc. 22nd International Conference on World Wide Web (WWW), pp. 825-836. ACM Press, New York (2013)
