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WEBI
2010
Springer
13 years 2 months ago
Discovering Research Communities by Clustering Bibliographical Data
Today's world is characterized by the multiplicity of interconnections through many types of links between the people, that is why mining social networks appears to be an impo...
Fabrice Muhlenbach, Stéphane Lallich
SAINT
2005
IEEE
13 years 10 months ago
Semantic Web Link Analysis to Discover Social Relationships in Academic Communities
To discover how precisely links among researchers’ Web sites capture the ties of academic communities, this study conducts Web citation analysis. 3,878 Web sites of computer sci...
Takeru Miki, Saeko Nomura, Toru Ishida
GFKL
2005
Springer
101views Data Mining» more  GFKL 2005»
13 years 10 months ago
Discovering Communities in Linked Data by Multi-view Clustering
Abstract. We consider the problem of finding communities in large linked networks such as web structures or citation networks. We review similarity measures for linked objects and...
Isabel Drost, Steffen Bickel, Tobias Scheffer
ACMSE
2006
ACM
13 years 10 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
KDD
2007
ACM
143views Data Mining» more  KDD 2007»
14 years 5 months ago
Mining Research Communities in Bibliographical Data
Abstract. Extracting information from very large collections of structured, semistructured or even unstructured data can be a considerable challenge when much of the hidden informa...
Osmar R. Zaïane, Jiyang Chen, Randy Goebel