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) |
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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. |
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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 |
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directed network |
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community discovery |
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nonnegative matrix factorization |
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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 |
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Okayama University (Okayama Univ.) |
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Speaker |
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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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