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Paper Abstract and Keywords
Presentation 2011-12-16 16:25
A study of information diffusion model considering update of a social network
Masaki Oono (UEC Tokyo) DE2011-48
Abstract (in Japanese) (See Japanese page) 
(in English) We study the combinational optimizaion problem of finding the most influential nodes on a social network. Kempe’s method based on a general greedy algorithm can give a good approximate solution to the problem. However, the approximation performance of Kempe’s method deteriorates because the method doesn’t consider the change of the number of nodes and the number of edges. In this paper, I propose a new method to extract the viral nodes efficiently from the dynamic social network.
Keyword (in Japanese) (See Japanese page) 
(in English) Social network analysis / Information diffusion model / Influence maxmizaion problem / Dynamic network / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 361, DE2011-48, pp. 49-52, Dec. 2011.
Paper # DE2011-48 
Date of Issue 2011-12-09 (DE) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 DE  
Conference Date 2011-12-16 - 2011-12-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto Sangyo University 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To DE 
Conference Code 2011-12-DE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A study of information diffusion model considering update of a social network 
Sub Title (in English)  
Keyword(1) Social network analysis  
Keyword(2) Information diffusion model  
Keyword(3) Influence maxmizaion problem  
Keyword(4) Dynamic network  
1st Author's Name Masaki Oono  
1st Author's Affiliation The university of electro-communications (UEC Tokyo)
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Speaker Author-1 
Date Time 2011-12-16 16:25:00 
Presentation Time 25 minutes 
Registration for DE 
Paper # DE2011-48 
Volume (vol) vol.111 
Number (no) no.361 
Page pp.49-52 
Date of Issue 2011-12-09 (DE) 

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