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Paper Abstract and Keywords
Presentation 2017-01-20 10:20
Analysis of the Relation between Information Diffusion and Overlapping Community Structure on Social Media
Sho Tsugawa (Univ. of Tsukuba) CQ2016-99
Abstract (in Japanese) (See Japanese page) 
(in English) In our previous work, we have shown that on Twitter, the frequency of retweeting between users in the same community is higher than that between users in different communities. We have also shown that the expected size of cascade of a tweet spreading among different communities is higher than a tweet spreading within a single community. Our previous work assumes that each user belongs to a single community. In contrast, this work assumes that each user may belong to multiple communities. We analyze the effects of community overlaps between users on information diffusion among the users. Our results suggest that as the degree of community overlaps between two users increases, the frequency of retweeting between the users increases. Our results also suggest that when a tweet is retweeted by a user and the degree of community overlaps between the user and the tweet publisher is low, then the expected number of future retweets of the tweet tends to be high.
Keyword (in Japanese) (See Japanese page) 
(in English) Social media / Social network / Information diffusion / Strength of weak ties / Overlapping community / / /  
Reference Info. IEICE Tech. Rep., vol. 116, no. 403, CQ2016-99, pp. 53-58, Jan. 2017.
Paper # CQ2016-99 
Date of Issue 2017-01-12 (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 CQ2016-99

Conference Information
Committee CQ  
Conference Date 2017-01-19 - 2017-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Osaka University Nakanoshima Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2017-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of the Relation between Information Diffusion and Overlapping Community Structure on Social Media 
Sub Title (in English)  
Keyword(1) Social media  
Keyword(2) Social network  
Keyword(3) Information diffusion  
Keyword(4) Strength of weak ties  
Keyword(5) Overlapping community  
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1st Author's Name Sho Tsugawa  
1st Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2017-01-20 10:20:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2016-99 
Volume (vol) vol.116 
Number (no) no.403 
Page pp.53-58 
#Pages 6 
Date of Issue 2017-01-12 (CQ) 

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