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» Discovering communities in complex networks
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WWW
2009
ACM
14 years 8 months ago
Extracting community structure through relational hypergraphs
Social media websites promote diverse user interaction on media objects as well as user actions with respect to other users. The goal of this work is to discover community structu...
Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru...
WWW
2010
ACM
14 years 3 months ago
On the high density of leadership nuclei in endorsement social networks
In this paper we study the community structure of endorsement networks, i.e., social networks in which a directed edge u → v is asserting an action of support from user u to use...
Guillermo Garrido, Francesco Bonchi, Aristides Gio...
AMM
2011
118views more  AMM 2011»
13 years 3 months ago
From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering
—The number of resources or items that users can now access when navigating on the Web or using e-services, is so huge that these might feel lost due to the presence of too much ...
Armelle Brun, Sylvain Castagnos, Anne Boyer
SEMWEB
2007
Springer
14 years 2 months ago
Lightweight Community-Driven Ontology Evolution
Only few well-maintained domain ontologies can be found on the Web. The likely reasons for the lack of useful domain ontologies include that (1) informal means to convey intended m...
Katharina Siorpaes
KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 21 days ago
Parallel community detection on large networks with propinquity dynamics
Graphs or networks can be used to model complex systems. Detecting community structures from large network data is a classic and challenging task. In this paper, we propose a nove...
Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou