34 search results - page 1 / 7 » SHRINK: a structural clustering algorithm for detecting hier... |
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...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Many datasets can be described in the form of graphs or networks where nodes in the graph represent entities and edges represent relationships between pairs of entities. A common ...
PKDD
2007
Springer
13 years 10 months ago
2007
Springer
Recent years have seen the development of many graph clustering algorithms, which can identify community structure in networks. The vast majority of these only find disjoint commun...
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...
CORR
2006
Springer
13 years 4 months ago
2006
Springer
Dense sub-graphs of sparse graphs (communities), which appear in most real-world complex networks, play an important role in many contexts. Most existing community detection algori...