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» Graph clustering with network structure indices
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ICDE
2010
IEEE
209views Database» more  ICDE 2010»
14 years 1 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...
GD
2005
Springer
14 years 2 months ago
Energy-Based Clustering of Graphs with Nonuniform Degrees
Widely varying node degrees occur in software dependency graphs, hyperlink structures, social networks, and many other real-world graphs. Finding dense subgraphs in such graphs is ...
Andreas Noack
CIKM
2009
Springer
14 years 3 months ago
Networks, communities and kronecker products
Emergence of the web and online computing applications gave rise to rich large scale social activity data. One of the principal challenges then is to build models and understandin...
Jure Leskovec
SOCIALCOM
2010
13 years 6 months ago
Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search...
Harish Sethu, Alexander Yates
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 3 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang