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Paper Abstract and Keywords
Presentation 2018-08-09 09:30
Derivation and Experimental Evaluation of a Novel Nonnegative Matrix Factorization Algorithm for Discovering Communities
Yoshito Usuzaka, Norikazu Takahashi (Okayama Univ.) NLP2018-64
Abstract (in Japanese) (See Japanese page) 
(in English) Community discovery is an important technique for a better understanding of the structure of a network. We consider the community discovery for a given directed network as the problem of partitioning the vertex set into some subsets, i.e., communities, such that two distinct subsets are connected by directed edges with a much higher density than average, or a much lower density than average. It is known that this can be formulated as a nonnegative matrix factorization problem. Also, an iterative algorithm for solving the problem has been developed. In this report, we derive a novel iterative algorithm for solving the same problem, and experimentally evaluate the convergence rate and the capability of discovering communities.
Keyword (in Japanese) (See Japanese page) 
(in English) directed network / community discovery / nonnegative matrix factorization / Cardano's method / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 174, NLP2018-64, pp. 57-62, Aug. 2018.
Paper # NLP2018-64 
Date of Issue 2018-08-01 (NLP) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF NLP2018-64

Conference Information
Committee NLP  
Conference Date 2018-08-08 - 2018-08-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Saiwai-cho Campus, Kagawa Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) etc. 
Paper Information
Registration To NLP 
Conference Code 2018-08-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Derivation and Experimental Evaluation of a Novel Nonnegative Matrix Factorization Algorithm for Discovering Communities 
Sub Title (in English)  
Keyword(1) directed network  
Keyword(2) community discovery  
Keyword(3) nonnegative matrix factorization  
Keyword(4) Cardano's method  
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1st Author's Name Yoshito Usuzaka  
1st Author's Affiliation Okayama University (Okayama Univ.)
2nd Author's Name Norikazu Takahashi  
2nd Author's Affiliation Okayama University (Okayama Univ.)
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Speaker Author-1 
Date Time 2018-08-09 09:30:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2018-64 
Volume (vol) vol.118 
Number (no) no.174 
Page pp.57-62 
#Pages 6 
Date of Issue 2018-08-01 (NLP) 

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