Mining application-aware community organization with expanded feature subspaces from concerned attributes in social networks

Social networks are typical attributed networks with node attributes. Traditional attribute community detection problems aim at obtaining the whole set of communities in the network. Different from them, we study an application-oriented problem of mining an application-aware community organization w...

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Bibliographic Details
Published in:	Knowledge-based systems Vol. 139; pp. 1 - 12
Main Authors:	Wu, Peng, Pan, Li
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01.01.2018 Elsevier Science Ltd
Subjects:	Algorithms Application Attributes Clustering Communities Community detection Community organizations Community structure Community work Concerns Data mining Efficiency Experiments Fitness Mining Mining industry Optimization Organizational effectiveness Semi-supervised clustering Social networks Subspaces Community detection Social networks 91D30 Semi-supervised clustering 68P10
ISSN:	0950-7051, 1872-7409
Online Access:	Get full text
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