207 search results - page 7 / 42 » Static community detection algorithms for evolving networks |
ASUNAM
2010
IEEE
13 years 9 months ago
2010
IEEE
Real-world social networks from a variety of domains can naturally be modelled as dynamic graphs. However, approaches to detecting communities have largely focused on identifying ...
GECCO
2003
Springer
14 years 21 days ago
2003
Springer
Learning Bayesian networks from data has been studied extensively in the evolutionary algorithm communities [Larranaga96, Wong99]. We have previously explored extending some of the...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
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,...
ICDM
2009
IEEE
14 years 2 months ago
2009
IEEE
—Applying the concept of organizational structure to social network analysis may well represent the power of members and the scope of their power in a social network. In this pap...
KDD
2009
ACM
14 years 1 days ago
2009
ACM
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...