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Paper Abstract and Keywords
Presentation 2019-01-18 13:10
[Invited Talk] Social Network Analysis Based on Random Matrix Theory
Yusuke Sakumoto, Masaki Aida (Tokyo Metropolitan Univ.) CQ2018-87
Abstract (in Japanese) (See Japanese page) 
(in English) Spectral graph theory gives an algebraical approach to analyze the characteristics of a network by using the matrix that represents the network structure. In order to apply the spectral graph theory to the social network analysis, we must represent the social network structure with a matrix. However, it is hard to determine matrix elements exactly representing the actual social network structure. In this paper, we introduce the social network analysis based on random matrix theory. This analysis utilizes the universality that appears when matrix elements are randomly given.
Keyword (in Japanese) (See Japanese page) 
(in English) Social Media / SNS / Spectral Graph Theory / Laplacian Matrix / Random Matrix Theory / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 395, CQ2018-87, pp. 65-70, Jan. 2019.
Paper # CQ2018-87 
Date of Issue 2019-01-10 (CQ) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 CQ CBE  
Conference Date 2019-01-17 - 2019-01-18 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Metropolitan Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Video/Voice Services Quality, Media Quality, Network Quality and QoS Control, Networks and Communications at Disaster, User Behavior, Machine Learning, etc. 
Paper Information
Registration To CQ 
Conference Code 2019-01-CQ-CBE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Social Network Analysis Based on Random Matrix Theory 
Sub Title (in English)  
Keyword(1) Social Media  
Keyword(2) SNS  
Keyword(3) Spectral Graph Theory  
Keyword(4) Laplacian Matrix  
Keyword(5) Random Matrix Theory  
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1st Author's Name Yusuke Sakumoto  
1st Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
2nd Author's Name Masaki Aida  
2nd Author's Affiliation Tokyo Metropolitan University (Tokyo Metropolitan Univ.)
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Speaker Author-1 
Date Time 2019-01-18 13:10:00 
Presentation Time 40 minutes 
Registration for CQ 
Paper # CQ2018-87 
Volume (vol) vol.118 
Number (no) no.395 
Page pp.65-70 
#Pages
Date of Issue 2019-01-10 (CQ) 


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