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» Social Influence Models Based on Starbucks Networks
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WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
15 years 7 months ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 7 days 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
IAT
2010
IEEE
14 years 8 months ago
An Agent-Based Model for the Interplay of Information and Emotion in Social Diffusion
The spread of information and emotion within groups is studied in models of social diffusion. Evidence has been found that the emotional states of humans affect their information ...
Mark Hoogendoorn, Jan Treur, C. Natalie van der Wa...
ICDM
2010
IEEE
212views Data Mining» more  ICDM 2010»
14 years 8 months ago
Modeling Information Diffusion in Implicit Networks
Social media forms a central domain for the production and dissemination of real-time information. Even though such flows of information have traditionally been thought of as diffu...
Jaewon Yang, Jure Leskovec
KDD
2009
ACM
164views Data Mining» more  KDD 2009»
15 years 10 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