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Paper Abstract and Keywords
Presentation 2023-01-20 09:50
Community Detection in Multi-Layer Networks with Controlled Reflection of Layers
Shuhei Nakano, Tsuyoshi Yamashita, Naoki Matsumoto, Kunitake Kaneko (Keio Univ.) IN2022-62
Abstract (in Japanese) (See Japanese page) 
(in English) Community detection in multi-layer networks has put an emphasis on identifying the idel reflection of layers. However, the graph topology does not define the best reflection because the definition of the best reflection varies from person to person and situation to situation. It is necessary to help graph analysts to find the desired reflection by providing various communities with a wide range of reflection that varies monotonically. We propose WAPPRS, a method for flattening multiple layers while controlling the reflection of each layer. WAPPRS weights the layers according to the specified reflection control parameter and introduces returning edges to the source vertex. By controlling the relevance of each vertex, WAPPRS detects communities with the width wide and reflection monotonically increasing. Experiments were conducted using multiple real-world multi-layer networks. The result shows that the proposed method outperforms the state-of-the-art algorithms in terms of the width of reflection and monotonicity.
Keyword (in Japanese) (See Japanese page) 
(in English) Multi-Layer Networks / Community Detection / Clustering / Random Walks / Personalized PageRank / Weighted Flattening / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 342, IN2022-62, pp. 64-71, Jan. 2023.
Paper # IN2022-62 
Date of Issue 2023-01-12 (IN) 
ISSN 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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Conference Information
Committee IN  
Conference Date 2023-01-19 - 2023-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Aichi Industry & Labor Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Contents Distribution, Social Networking Services, Data Analytics and Processing Platform, Big data, etc. 
Paper Information
Registration To IN 
Conference Code 2023-01-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Community Detection in Multi-Layer Networks with Controlled Reflection of Layers 
Sub Title (in English)  
Keyword(1) Multi-Layer Networks  
Keyword(2) Community Detection  
Keyword(3) Clustering  
Keyword(4) Random Walks  
Keyword(5) Personalized PageRank  
Keyword(6) Weighted Flattening  
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Keyword(8)  
1st Author's Name Shuhei Nakano  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tsuyoshi Yamashita  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Naoki Matsumoto  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Kunitake Kaneko  
4th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2023-01-20 09:50:00 
Presentation Time 25 minutes 
Registration for IN 
Paper # IN2022-62 
Volume (vol) vol.122 
Number (no) no.342 
Page pp.64-71 
#Pages
Date of Issue 2023-01-12 (IN) 


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