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CSE
2009
IEEE
14 years 2 months ago
Web Science 2.0: Identifying Trends through Semantic Social Network Analysis
—We introduce a novel set of social network analysis based algorithms for mining the Web, blogs, and online forums to identify trends and find the people launching these new tren...
Peter A. Gloor, Jonas Krauss, Stefan Nann, Kai Fis...
DASFAA
2011
IEEE
341views Database» more  DASFAA 2011»
13 years 5 months ago
Utility-Oriented K-Anonymization on Social Networks
\Identity disclosure" problem on publishing social network data has gained intensive focus from academia. Existing k-anonymization algorithms on social network may result in n...
Yazhe WANG, Long XIE, Baihua ZHENG, and Ken C. K. ...
ICMCS
2007
IEEE
156views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Exploiting Personal And Social Network Context For Event Annotation
This paper describes our framework to annotate events using personal and social network contexts. The problem is important as the correct context is critical to effective annotati...
Bageshree Shevade, Hari Sundaram, Lexing Xie
ASUNAM
2009
IEEE
14 years 1 months ago
Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
Romain Bourqui, Frédéric Gilbert, Pa...
SOCIALCOM
2010
13 years 5 months ago
Churn in Social Networks: A Discussion Boards Case Study
Churn has been identified as an important issue in a wide range of industries. In social networks, churn represents a significant risk for the health and functioning of communities...
Marcel Karnstedt, Tara Hennessy, Jeffrey Chan, Con...