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Paper Abstract and Keywords
Presentation 2018-08-24 11:30
Analysis of Positive Feedback on Social Network Using Random Matrix Theory
Yusuke Sakumoto, Masaki Aida (Tokyo Metropolitan Univ.) CQ2018-56
Abstract (in Japanese) (See Japanese page) 
(in English) The social media facilitates the communication among people, and promotes several group activities in the society. Today, the persons frequently send positive feedback (e.g., Like in Facebook) to their friends via social media. Such positive feedback should be an important factor to promote the group activity. In a social network, the feedback is caused from a cycle of the communication chain among people. Hence, we must model the communication chain to clarify the effect of the positive feedback on the group activity promotion. However, it is difficult to describe the communication chain with simple deterministic rules because of the complexity of its behavior. A stochastic model (e.g., random walk) is popular to describe the complex phenomenon. The random walk can be a candidate model of the communication chain on a social network, but there is the problem for setting the transition probability of random walks to be able to exactly reproduce the behavior of the communication chain on an actual social network. In this paper, avoiding this problem with the random matrix theory, we analyze the positive feedback on social networks with the random walk model. As the results, we show the following properties that do not depend on the accuracy for setting the transition probability of random walks: (a) the scale-free property and the number of persons does not affect the strength of the social positive feedback, (b) the strength of the social positive feedback weakens with increasing the average number of friends and decreasing the variance of relationship strength between persons.
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. 192, CQ2018-56, pp. 59-64, Aug. 2018.
Paper # CQ2018-56 
Date of Issue 2018-08-16 (CQ) 
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)
Download PDF CQ2018-56

Conference Information
Committee CQ  
Conference Date 2018-08-23 - 2018-08-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT/M2M, Wireless Communication, QoS and QoE in Wireless Communication, Wireless Resource Allocation, Wireless Transmission Quality, Cross layer Technology, Ad-hoc Network, etc. 
Paper Information
Registration To CQ 
Conference Code 2018-08-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of Positive Feedback on Social Network Using 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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Keyword(8)  
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 2018-08-24 11:30:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2018-56 
Volume (vol) vol.118 
Number (no) no.192 
Page pp.59-64 
#Pages 6 
Date of Issue 2018-08-16 (CQ) 

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