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Paper Abstract and Keywords
Presentation 2013-06-22 15:47
Identifying Topics and Influential Users based on Information Propagation in Twitter
Guanying Zhou (Waseda Univ.), Xuan Zhang (Recruit Technologies), Hayato Yamana (Waseda Univ.) DE2013-11
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, Twitter has become an efficient tool for product promotion. Thus, both how to measure the influence of individuals and to identify influential Twitter users have great research value. Most of previous researches about influential Twitter users identification have been concentrated on the following and/or friend relationships over user network without taking the factors of real information propagation into account. We believe influential users are those who spread information in the propagation and thus they are key figures in advertising for commercial companies. In this paper, we proposed a new method to identify influential Twitter users in some popular topics in Twitter based on retweet relationship. We use LDA to detect topics and then rank Twitter users in each topic.
Keyword (in Japanese) (See Japanese page) 
(in English) Twitter / User / Topic / PageRank / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 105, DE2013-11, pp. 29-33, June 2013.
Paper # DE2013-11 
Date of Issue 2013-06-15 (DE) 
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 DE2013-11

Conference Information
Committee DE  
Conference Date 2013-06-22 - 2013-06-22 
Place (in Japanese) (See Japanese page) 
Place (in English) ASTUDIO, Aoyama Gakuin Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Social Computing 
Paper Information
Registration To DE 
Conference Code 2013-06-DE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Identifying Topics and Influential Users based on Information Propagation in Twitter 
Sub Title (in English)  
Keyword(1) Twitter  
Keyword(2) User  
Keyword(3) Topic  
Keyword(4) PageRank  
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1st Author's Name Guanying Zhou  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Xuan Zhang  
2nd Author's Affiliation Recruit Technologies Co.,Ltd. (Recruit Technologies)
3rd Author's Name Hayato Yamana  
3rd Author's Affiliation Waseda University (Waseda Univ.)
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Speaker Author-1 
Date Time 2013-06-22 15:47:00 
Presentation Time 4 minutes 
Registration for DE 
Paper # DE2013-11 
Volume (vol) vol.113 
Number (no) no.105 
Page pp.29-33 
#Pages
Date of Issue 2013-06-15 (DE) 


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