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» A New Content-Based Model for Social Network Analysis
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WSDM
2012
ACM
283views Data Mining» more  WSDM 2012»
12 years 2 months ago
The life and death of online groups: predicting group growth and longevity
We pose a fundamental question in understanding how to identify and design successful communities: What factors predict whether a community will grow and survive in the long term?...
Sanjay Ram Kairam, Dan J. Wang, Jure Leskovec
SEMWEB
2010
Springer
13 years 5 months ago
Measuring the Dynamic Bi-directional Influence between Content and Social Networks
The Social Semantic Web has begun to provide connections between users within social networks and the content they produce across the whole of the Social Web. Thus, the Social Sema...
Shenghui Wang, Paul T. Groth
KDD
2003
ACM
269views Data Mining» more  KDD 2003»
14 years 7 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
CIKM
2010
Springer
13 years 6 months ago
Predicting product adoption in large-scale social networks
Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adopti...
Rushi Bhatt, Vineet Chaoji, Rajesh Parekh
KDD
2005
ACM
192views Data Mining» more  KDD 2005»
14 years 7 months ago
Modeling and predicting personal information dissemination behavior
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...