19 search results - page 1 / 4 » Community Detection on Weighted Networks: A Variational Baye... |
ACML
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Massive real-world data are network-structured, such as social network, relationship between proteins and power grid. Discovering the latent communities is a useful way f...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
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 ...
INFORMATICALT
2011
12 years 11 months ago
2011
Detecting communities in real world networks is an important problem for data analysis in science and engineering. By clustering nodes intelligently, a recursive algorithm is desig...
WAW
2004
Springer
13 years 10 months ago
2004
Springer
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...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...