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 |
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) |
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DE2011-48 |
Conference Information |
Committee |
DE |
Conference Date |
2011-12-16 - 2011-12-16 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Kyoto Sangyo University |
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(See Japanese page) |
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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 |
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Social network analysis |
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Information diffusion model |
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Influence maxmizaion problem |
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Dynamic network |
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1st Author's Name |
Masaki Oono |
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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 |
#Pages |
4 |
Date of Issue |
2011-12-09 (DE) |