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Paper Abstract and Keywords
Presentation 2020-06-25 13:30
Analysis of the Effects of Community Structure in Social Network on the Speed of Information Diffusion among Twitter Users
Nako Tsuda, Sho Tsugawa (Univ. of Tsukuba) CQ2020-6
Abstract (in Japanese) (See Japanese page) 
(in English) Social media users can widely disseminate information, potentially affecting societal trends. Therefore, understanding factors affecting information diffusion in social media is important for successful viral marketing campaigns. In this paper, we focus on the community structure of social networks among Twitter users and investigate how that structure affects the speed of diffusion by retweets. Extracting communities among sampled Twitter users, we investigate differences in diffusion speed between tweets with many intra-community retweets and those with many inter-community retweets. Consequently, we show that tweets with many intra-community retweets tend to spread slowly. We also use community structures in Twitter social networks to tackle the tasks of predicting time intervals between a first tweet and its $N$-th retweet. We show that the community structure features in a social network are effective for predicting information diffusion speed.
Keyword (in Japanese) (See Japanese page) 
(in English) Social network / Community structure / Diffusion speed / Social media / / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 76, CQ2020-6, pp. 31-36, June 2020.
Paper # CQ2020-6 
Date of Issue 2020-06-18 (CQ) 
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 CQ2020-6

Conference Information
Committee CQ CS  
Conference Date 2020-06-25 - 2020-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. 
Paper Information
Registration To CQ 
Conference Code 2020-05-CQ-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the Effects of Community Structure in Social Network on the Speed of Information Diffusion among Twitter Users 
Sub Title (in English)  
Keyword(1) Social network  
Keyword(2) Community structure  
Keyword(3) Diffusion speed  
Keyword(4) Social media  
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1st Author's Name Nako Tsuda  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
2nd Author's Name Sho Tsugawa  
2nd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker
Date Time 2020-06-25 13:30:00 
Presentation Time 20 
Registration for CQ 
Paper # IEICE-CQ2020-6 
Volume (vol) IEICE-120 
Number (no) no.76 
Page pp.31-36 
#Pages IEICE-6 
Date of Issue IEICE-CQ-2020-06-18 


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