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Paper Abstract and Keywords
Presentation 2016-01-21 11:30
A Study on Estimating Influence of Social Media Users from Sampled Social Networks
Kazuma Kimura, Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba) CQ2015-97
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, indices for estimating influence of social media users have been actively studied. Most studies utilize the structure of a social network that represents relationships among users for estimating their influence. However, several errors are typically contained in a social network due to missing data, false data, and node/link sampling from the social network. In this paper, we investigate the effects of node sampling from a social network on the effectiveness of the indices obtained from the sampled network for estimating influence of social media users. We examine the effectiveness of indices estimating influence of social media users through comparison between the estimated influence of users, which is obtained from the indices calculated from a sampled social network, and the actual influence of the users. Our experimental results show that (1) the use of random sampling to obtain the structure of social network significantly affects the effectiveness of indices for estimating the influence of users, which may make the indices quite useless, and (2) using biased sampling methods, such as Sample Edge Count (SEC), is an effective approach for estimating influence of users rather than using a random sampling.
Keyword (in Japanese) (See Japanese page) 
(in English) Social Network / Social Media / Node Ranking / Influence Estimation / Network Sampling / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 408, CQ2015-97, pp. 25-30, Jan. 2016.
Paper # CQ2015-97 
Date of Issue 2016-01-14 (CQ) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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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)
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Conference Information
Committee CQ  
Conference Date 2016-01-21 - 2016-01-22 
Place (in Japanese) (See Japanese page) 
Place (in English) University of Tsukuba 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To CQ 
Conference Code 2016-01-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Estimating Influence of Social Media Users from Sampled Social Networks 
Sub Title (in English)  
Keyword(1) Social Network  
Keyword(2) Social Media  
Keyword(3) Node Ranking  
Keyword(4) Influence Estimation  
Keyword(5) Network Sampling  
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1st Author's Name Kazuma Kimura  
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)
3rd Author's Name Mikio Yamamoto  
3rd Author's Affiliation University of Tsukuba (Univ. of Tsukuba)
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Speaker Author-1 
Date Time 2016-01-21 11:30:00 
Presentation Time 25 minutes 
Registration for CQ 
Paper # CQ2015-97 
Volume (vol) vol.115 
Number (no) no.408 
Page pp.25-30 
#Pages
Date of Issue 2016-01-14 (CQ) 


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