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Paper Abstract and Keywords
Presentation 2017-03-03 13:20
Experimental Research on the Effect of Adjacency Relationship among Nodes on Eigenvalues of Normalized Laplacian Matrix
Ryosuke Sawada, Yusuke Sakumoto (Tokyo Metropolitan Univ.), Chisa Takano (Hiroshima City Univ.), Masaki Aida (Tokyo Metropolitan Univ.) IN2016-165
Abstract (in Japanese) (See Japanese page) 
(in English) Laplacian matrix is defined by node degrees and adjacency relationships between nodes in a graph, and it is useful to analyze graph structure of networks. Existing studies of Laplacian matrix clarified that the degree distribution of a network has a high similarity to the eigenvalue distribution of its Laplacian matrix. Since degree distribution only contains information of node degree, they did not clarify how the information of adjacency relationship affects the eigenvalues of Laplacian matrix. In our previous study, we analyzed the effect of adjacency relationship between nodes on eigenvalues of Laplacian matrix, but the strong dependence between the node degree and eigenvalue distributions intercepted our analysis. In this paper, we introduce Normalized Laplacian matrix, which Laplacian matrix normalized by node degrees, and experimentally investigate the effect of adjacency relationship between nodes on eigenvalues of Normalized Laplacian matrix.
Keyword (in Japanese) (See Japanese page) 
(in English) Network analysis / Spectral graph theory / Laplacian matrix / Normalized Laplacian matrix / Eigenvalue / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 485, IN2016-165, pp. 407-412, March 2017.
Paper # IN2016-165 
Date of Issue 2017-02-23 (IN) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 NS IN  
Conference Date 2017-03-02 - 2017-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) OKINAWA ZANPAMISAKI ROYAL HOTEL 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To IN 
Conference Code 2017-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Experimental Research on the Effect of Adjacency Relationship among Nodes on Eigenvalues of Normalized Laplacian Matrix 
Sub Title (in English)  
Keyword(1) Network analysis  
Keyword(2) Spectral graph theory  
Keyword(3) Laplacian matrix  
Keyword(4) Normalized Laplacian matrix  
Keyword(5) Eigenvalue  
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1st Author's Name Ryosuke Sawada  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Yusuke Sakumoto  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
3rd Author's Name Chisa Takano  
3rd Author's Affiliation Hiroshima City University (Hiroshima City Univ.)
4th Author's Name Masaki Aida  
4th Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2017-03-03 13:20:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2016-165 
Volume (vol) vol.116 
Number (no) no.485 
Page pp.407-412 
#Pages
Date of Issue 2017-02-23 (IN) 


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