Paper Abstract and Keywords |
Presentation |
2015-12-19 13:25
A community detection algorithm based on Marokov random field modeling Shun Kataoka (Tohoku Univ.) NC2015-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In the field of the complex network, the community is defined as sub-network whose vertices are densely connected while the connections between vertices in different communities are sparse.
One approach to detect the community structures in the given network is the modularity optimization.
In this approach, the communities are detected by inferring the community labels assigned to each vertex that maximize the modularity function.
From the Markov random field view point, the modularity optimization problem can be regarded as the MAP inference problem of the posterior probability given the network structure.
In this paper, we propose the community detection method based on Markov random field modeling of the modularity function by using max-product algorithm.
We checked the performance of the proposed method though the numerical experiments by using computer generated networks and real world networks. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
complex network / community detection / modularity optimization / max-product algorithm / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 384, NC2015-47, pp. 7-12, Dec. 2015. |
Paper # |
NC2015-47 |
Date of Issue |
2015-12-12 (NC) |
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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NC2015-47 |
Conference Information |
Committee |
MBE NC |
Conference Date |
2015-12-19 - 2015-12-19 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Nagoya Institute of Technology |
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(See Japanese page) |
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Paper Information |
Registration To |
NC |
Conference Code |
2015-12-MBE-NC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A community detection algorithm based on Marokov random field modeling |
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complex network |
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community detection |
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modularity optimization |
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max-product algorithm |
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1st Author's Name |
Shun Kataoka |
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Tohoku University (Tohoku Univ.) |
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Speaker |
Author-1 |
Date Time |
2015-12-19 13:25:00 |
Presentation Time |
25 minutes |
Registration for |
NC |
Paper # |
NC2015-47 |
Volume (vol) |
vol.115 |
Number (no) |
no.384 |
Page |
pp.7-12 |
#Pages |
6 |
Date of Issue |
2015-12-12 (NC) |
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