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CIKM
2009
Springer
13 years 11 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
ASUNAM
2009
IEEE
13 years 10 months ago
Detecting Structural Changes and Command Hierarchies in Dynamic Social Networks
Community detection in social networks varying with time is a common yet challenging problem whereby efficient visualization of evolving relationships and implicit hierarchical s...
Romain Bourqui, Frédéric Gilbert, Pa...
CORR
2010
Springer
259views Education» more  CORR 2010»
13 years 5 months ago
Community Detection in Networks: The Leader-Follower Algorithm
Natural networks such as those between humans observed through their interactions or biological networks predicted based on various experimental measurements contain a wealth of i...
Devavrat Shah, Tauhid Zaman
GECCO
2008
Springer
250views Optimization» more  GECCO 2008»
13 years 6 months ago
Community detection in social networks with genetic algorithms
A new genetic algorithm to detect communities in social networks is presented. The algorithm uses a fitness function able to identify groups of nodes in the network having dense ...
Clara Pizzuti
TKDE
2012
250views Formal Methods» more  TKDE 2012»
11 years 7 months ago
Dense Subgraph Extraction with Application to Community Detection
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Jie Chen 0007, Yousef Saad