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» Learning and Predicting the Evolution of Social Networks
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ICDM
2009
IEEE
211views Data Mining» more  ICDM 2009»
14 years 27 days ago
Discovering Organizational Structure in Dynamic Social Network
—Applying the concept of organizational structure to social network analysis may well represent the power of members and the scope of their power in a social network. In this pap...
Jiangtao Qiu, Zhangxi Lin, Changjie Tang, Shaojie ...
CIKM
2011
Springer
12 years 6 months ago
Content based social behavior prediction: a multi-task learning approach
The study of information flow analyzes the principles and mechanisms of social information distribution. It is becoming an extremely important research topic in social network re...
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Ju...
TKDE
2012
190views Formal Methods» more  TKDE 2012»
11 years 8 months ago
Scalable Learning of Collective Behavior
—This study of collective behavior is to understand how individuals behave in a social networking environment. Oceans of data generated by social media like Facebook, Twitter, Fl...
Lei Tang, Xufei Wang, Huan Liu
ICDM
2010
IEEE
186views Data Mining» more  ICDM 2010»
13 years 4 months ago
MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model
Human emotion is one important underlying force affecting and affected by the dynamics of social networks. An interesting question is "can we predict a person's mood base...
Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, Jing...
COGSCI
2010
80views more  COGSCI 2010»
13 years 6 months ago
The Interactive Evolution of Human Communication Systems
This paper compares two explanations of the process by which human communication systems evolve: iterated learning and social collaboration. It then reports an experiment testing ...
Nicolas Fay, Simon Garrod, Leo Roberts, Nik Swobod...