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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
14 years 4 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
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
11 years 10 months ago
Intrusion as (anti)social communication: characterization and detection
A reasonable definition of intrusion is: entering a community to which one does not belong. This suggests that in a network, intrusion attempts may be detected by looking for com...
Qi Ding, Natallia Katenka, Paul Barford, Eric D. K...
WAW
2004
Springer
178views Algorithms» more  WAW 2004»
14 years 25 days ago
Communities Detection in Large Networks
We develop an algorithm to detect community structure in complex networks. The algorithm is based on spectral methods and takes into account weights and links orientations. Since t...
Andrea Capocci, Vito Domenico Pietro Servedio, Gui...
CORR
2008
Springer
158views Education» more  CORR 2008»
13 years 7 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
ICDM
2010
IEEE
142views Data Mining» more  ICDM 2010»
13 years 5 months ago
Towards Community Discovery in Signed Collaborative Interaction Networks
Abstract--We propose a framework for discovery of collaborative community structure in Wiki-based knowledge repositories based on raw-content generation analysis. We leverage topic...
Petko Bogdanov, Nicholas D. Larusso, Ambuj K. Sing...