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Paper Abstract and Keywords
Presentation 2020-03-10 11:10
Information Diffusion Model with Network Centrality and Community Structure
Luyan Xu, Kazuya Sawada (TUS), Yutaka Shimada (SU), Tohru Ikeguchi (TUS) NLP2019-127
Abstract (in Japanese) (See Japanese page) 
(in English) In this report, we proposed two new information diffusion models based on a conventional information diffusion model. The first model considers eigenvector centrality and the second model considers community structure. Then, we investigated the effect of network structure on information diffusion by numerical experiments, using these two proposed models. As a result, we found that on a Hexagonal Lattice network, information can spread more stably and widely than a random network. In addition, we found that when the information finally spreads to the whole network, the random network has a faster spreading speed.
Keyword (in Japanese) (See Japanese page) 
(in English) Information diffusion / Complex network / Mathematical model / Network centrality / Community Structure / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 471, NLP2019-127, pp. 83-88, March 2020.
Paper # NLP2019-127 
Date of Issue 2020-03-02 (NLP) 
ISSN Print edition: ISSN 0913-5685    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 NLP2019-127

Conference Information
Committee MSS NLP  
Conference Date 2020-03-09 - 2020-03-10 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) SICE-DES, IEICE-MSS, IEICE-NLP 
Paper Information
Registration To NLP 
Conference Code 2020-03-MSS-NLP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Information Diffusion Model with Network Centrality and Community Structure 
Sub Title (in English)  
Keyword(1) Information diffusion  
Keyword(2) Complex network  
Keyword(3) Mathematical model  
Keyword(4) Network centrality  
Keyword(5) Community Structure  
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1st Author's Name Luyan Xu  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Kazuya Sawada  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name Yutaka Shimada  
3rd Author's Affiliation Saitama University (SU)
4th Author's Name Tohru Ikeguchi  
4th Author's Affiliation Tokyo University of Science (TUS)
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Speaker Author-1 
Date Time 2020-03-10 11:10:00 
Presentation Time 25 minutes 
Registration for NLP 
Paper # NLP2019-127 
Volume (vol) vol.119 
Number (no) no.471 
Page pp.83-88 
#Pages 6 
Date of Issue 2020-03-02 (NLP) 

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