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TKDE
2012
190views Formal Methods» more  TKDE 2012»
12 years 6 days 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
CSE
2009
IEEE
14 years 4 months ago
Social Interaction History: A Framework for Supporting Exploration of Social Information Spaces
— Social interaction history refers to traces of social interaction in information spaces. These traces have potential to help users explore and navigate through information spac...
Indratmo, Julita Vassileva
WSDM
2012
ACM
304views Data Mining» more  WSDM 2012»
12 years 5 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections b...
Haipeng Zhang, Mohammed Korayem, Erkang You, David...
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
14 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...
WWW
2011
ACM
13 years 4 months ago
Finding hierarchy in directed online social networks
Social hierarchy and stratification among humans is a well studied concept in sociology. The popularity of online social networks presents an opportunity to study social hierarch...
Mangesh Gupte, Pravin Shankar, Jing Li, S. Muthukr...