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» Efficient influence maximization in social networks
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KDD
2009
ACM
190views Data Mining» more  KDD 2009»
14 years 4 months ago
Efficient influence maximization in social networks
Influence maximization is the problem of finding a small subset of nodes (seed nodes) in a social network that could maximize the spread of influence. In this paper, we study the ...
Wei Chen, Yajun Wang, Siyu Yang
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 4 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 6 months ago
Scalable influence maximization for prevalent viral marketing in large-scale social networks
Influence maximization, defined by Kempe, Kleinberg, and Tardos (2003), is the problem of finding a small set of seed nodes in a social network that maximizes the spread of influe...
Wei Chen, Chi Wang, Yajun Wang
ACMICEC
2007
ACM
156views ECommerce» more  ACMICEC 2007»
13 years 8 months ago
Maximizing influence in a competitive social network: a follower's perspective
Tim Carnes, Chandrashekhar Nagarajan, Stefan M. Wi...