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KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 7 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
SOCIALCOM
2010
13 years 3 months ago
A Scalable Framework for Modeling Competitive Diffusion in Social Networks
Multiple phenomena often diffuse through a social network, sometimes in competition with one another. Product adoption and political elections are two examples where network diffus...
Matthias Broecheler, Paulo Shakarian, V. S. Subrah...
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
14 years 5 months ago
Social influence analysis in large-scale networks
In large social networks, nodes (users, entities) are influenced by others for various reasons. For example, the colleagues have strong influence on one's work, while the fri...
Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
CIKM
2010
Springer
13 years 3 months ago
Mining topic-level influence in heterogeneous networks
Influence is a complex and subtle force that governs the dynamics of social networks as well as the behaviors of involved users. Understanding influence can benefit various applic...
Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, Shiqiang...
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 5 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