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Paper Abstract and Keywords
Presentation 2020-09-04 11:10
A Study on Information Diffusion Model in Social Network with Information Vitality and Information Entropy
Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.) IT2020-22
Abstract (in Japanese) (See Japanese page) 
(in English) With the spread of social networking services from the evolution of information and communication technologies, social networks have had great influence on whole society, whereas there is a concern about the negative impact of information diffusion. A universal model will provide a clue to mitigating this negative impact. On the other hand, the psychological reaction of how information effects human behavior should be modeled properly since human emotions and cognition are likely to affect information diffusion. Although it might be difficult to model the reaction directly due to psychologically complex phenomena, it is possible to express a psychological principle that describes the mutual relationships among ambiguity, importance, and rumors. This paper proposes a model of information diffusion that takes into account the ambiguity and importance of information by using information entropy and information vitality introduced in the principle of information engine. The paper also shows that our model has the potential to predict the speed and range of information diffusion.
Keyword (in Japanese) (See Japanese page) 
(in English) social network / information theory / information engine / graph theory / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 157, IT2020-22, pp. 25-30, Sept. 2020.
Paper # IT2020-22 
Date of Issue 2020-08-28 (IT) 
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 IT2020-22

Conference Information
Committee IT  
Conference Date 2020-09-04 - 2020-09-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Error correcting codes, General 
Paper Information
Registration To IT 
Conference Code 2020-09-IT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Information Diffusion Model in Social Network with Information Vitality and Information Entropy 
Sub Title (in English)  
Keyword(1) social network  
Keyword(2) information theory  
Keyword(3) information engine  
Keyword(4) graph theory  
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1st Author's Name Masaaki Miyashita  
1st Author's Affiliation Soka University (Soka Univ.)
2nd Author's Name Daisuke Kasamatsu  
2nd Author's Affiliation Soka University (Soka Univ.)
3rd Author's Name Norihiko Shinomiya  
3rd Author's Affiliation Soka University (Soka Univ.)
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Speaker Author-1 
Date Time 2020-09-04 11:10:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2020-22 
Volume (vol) vol.120 
Number (no) no.157 
Page pp.25-30 
#Pages 6 
Date of Issue 2020-08-28 (IT) 

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