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Community Discovery on Multi-View Social Networks via Joint Regularized Nonnegative Matrix Triple Factorization
Liangliang ZHANG Longqi YANG Yong GONG Zhisong PAN Yanyan ZHANG Guyu HU
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2017/06/01
Online ISSN: 1745-1361
Type of Manuscript: PAPER
Category: Artificial Intelligence, Data Mining
data mining, community discovery, social network, nonnegative matrix factorization,
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In multi-view social networks field, a flexible Nonnegative Matrix Factorization (NMF) based framework is proposed which integrates multi-view relation data and feature data for community discovery. Benefit with a relaxed pairwise regularization and a novel orthogonal regularization, it outperforms the-state-of-art algorithms on five real-world datasets in terms of accuracy and NMI.