5 search results - page 1 / 1 » Graphical models based hierarchical probabilistic community ... |
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Real-world social networks are often hierarchical, reflecting the fact that some communities are composed of a few smaller, sub-communities. This paper describes a hierarchical B...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
13 years 3 months ago
: Real-world social networks, while disparate in nature, often comprise of a set of loose clusters (a.k.a. communities), in which members are better connected to each other than to...
ISI
2007
Springer
13 years 10 months ago
2007
Springer
Abstract— Community discovery has drawn significant research interests among researchers from many disciplines for its increasing application in multiple, disparate areas, inclu...
AAAI
2007
13 years 7 months ago
2007
Complex networks exist in a wide array of diverse domains, ranging from biology, sociology, and computer science. These real-world networks, while disparate in nature, often compr...
DASFAA
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract. Discovery of evolving regions in large graphs is an important issue because it is the basis of many applications such as spam websites detection in the Web, community lif...