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WEBI
2007
Springer
14 years 3 months ago
DENGRAPH: A Density-based Community Detection Algorithm
Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
Tanja Falkowski, Anja Barth, Myra Spiliopoulou
WAW
2007
Springer
162views Algorithms» more  WAW 2007»
14 years 3 months ago
Random Dot Product Graph Models for Social Networks
Inspired by the recent interest in combining geometry with random graph models, we explore in this paper two generalizations of the random dot product graph model proposed by Kraet...
Stephen J. Young, Edward R. Scheinerman
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
14 years 3 months ago
Overlapping Community Search for social networks
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
Arnau Padrol-Sureda, Guillem Perarnau-Llobet, Juli...
ICWSM
2009
13 years 7 months ago
Event Detection and Tracking in Social Streams
Events and stories can be characterized by a set of descriptive, collocated keywords. Intuitively, documents describing the same event will contain similar sets of keywords, and t...
Hassan Sayyadi, Matthew Hurst, Alexey Maykov
CIKM
2009
Springer
14 years 4 months ago
Scalable learning of collective behavior based on sparse social dimensions
The study of collective behavior is to understand how individuals behave in a social network environment. Oceans of data generated by social media like Facebook, Twitter, Flickr a...
Lei Tang, Huan Liu