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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 1 months ago
Detecting Communities in Social Networks Using Max-Min Modularity.
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
Jiyang Chen, Osmar R. Zaïane, Randy Goebel
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 4 months ago
Community Detection using a Measure of Global Influence
Abstract. The growing popularity of online social networks gave researchers access to large amount of network data and renewed interest in methods for automatic community detection...
Rumi Ghosh, Kristina Lerman
ASUNAM
2011
IEEE
12 years 4 months ago
Is Objective Function the Silver Bullet? A Case Study of Community Detection Algorithms on Social Networks
Abstract—Community detection or cluster detection in networks is a well-studied, albeit hard, problem. Given the scale and complexity of modern day social networks, detecting “...
Yang Yang, Yizhou Sun, Saurav Pandit, Nitesh V. Ch...
CORR
2010
Springer
110views Education» more  CORR 2010»
13 years 4 months ago
Detecting communities of triangles in complex networks using spectral optimization
The study of the sub-structure of complex networks is of major importance to relate topology and functionality. Many efforts have been devoted to the analysis of the modular struc...
Belkacem Serrour, Alex Arenas, Sergio Gómez
DATAMINE
2010
189views more  DATAMINE 2010»
13 years 4 months ago
A game-theoretic framework to identify overlapping communities in social networks
In this paper, we introduce a game-theoretic framework to address the community detection problem based on the structures of social networks. We formulate the dynamics of community...
Wei Chen, Zhenming Liu, Xiaorui Sun, Yajun Wang