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IM
2008
13 years 3 months ago
Finding Strongly Knit Clusters in Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...
ICDM
2007
IEEE
166views Data Mining» more  ICDM 2007»
13 years 10 months ago
A Divisive Hierarchical Structural Clustering Algorithm for Networks
Many systems in sciences, engineering and nature can be modeled as networks. Examples are internet, metabolic networks and social networks. Network clustering algorithms aimed to ...
Nurcan Yuruk, Mutlu Mete, Xiaowei Xu, Thomas A. J....
WAW
2007
Springer
96views Algorithms» more  WAW 2007»
13 years 9 months ago
Clustering Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that cl...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...
IJCAI
2007
13 years 5 months ago
Extracting Keyphrases to Represent Relations in Social Networks from Web
Social networks have recently garnered considerable interest. With the intention of utilizing social networks for the Semantic Web, several studies have examined automatic extract...
Junichiro Mori, Mitsuru Ishizuka, Yutaka Matsuo
SOCIALCOM
2010
13 years 1 months ago
Measuring Similarity between Sets of Overlapping Clusters
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...
Mark K. Goldberg, Mykola Hayvanovych, Malik Magdon...