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» Communities Detection in Large Networks
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WEBI
2007
Springer
13 years 11 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
WWW
2010
ACM
14 years 9 days ago
Empirical comparison of algorithms for network community detection
Detecting clusters or communities in large real-world graphs such as large social or information networks is a problem of considerable interest. In practice, one typically chooses...
Jure Leskovec, Kevin J. Lang, Michael W. Mahoney
AAAI
2012
11 years 7 months ago
A Spin-Glass Model for Semi-Supervised Community Detection
Current modularity-based community detection methods show decreased performance as relational networks become increasingly noisy. These methods also yield a large number of divers...
Eric Eaton, Rachael Mansbach
ICDE
2010
IEEE
209views Database» more  ICDE 2010»
13 years 10 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...
KDD
2012
ACM
197views Data Mining» more  KDD 2012»
11 years 7 months ago
On the separability of structural classes of communities
Three major factors govern the intricacies of community extraction in networks: (1) the application domain includes a wide variety of networks of fundamentally different natures,...
Bruno D. Abrahao, Sucheta Soundarajan, John E. Hop...