131 search results - page 5 / 27 » Clustering and visualization of fuzzy communities in social ... |
SOCIALCOM
2010
14 years 7 months ago
2010
The typical task of unsupervised learning is to organize data, for example into clusters, typically disjoint clusters (eg. the K-means algorithm). One would expect (for example) a...
WEBI
2007
Springer
15 years 3 months ago
2007
Springer
Detecting densely connected subgroups in graphs such as communities in social networks is of interest in many research fields. Several methods have been developed to find commun...
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ICDE
2010
IEEE
15 years 3 months ago
2010
IEEE
— Finding decompositions of a graph into a family of clusters is crucial to understanding its underlying structure. While most existing approaches focus on partitioning the nodes...
IJDMMM
2010
2010
Graphical models based hierarchical probabilistic community discovery in large-scale social networks
14 years 8 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...
HICSS
2003
IEEE
15 years 3 months ago
2003
IEEE
Managers and group leaders of a community may not have enough information to help them direct the community development. In this paper, we adopt social network analysis, graph the...