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| Paper Abstract and Keywords | ||
| Presentation | 2020-09-04 11:10 A Study on Information Diffusion Model in Social Network with Information Vitality and Information Entropy Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.)  IT2020-22 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | With the spread of social networking services from the evolution of information and communication technologies, social networks have had great influence on whole society, whereas there is a concern about the negative impact of information diffusion. A universal model will provide a clue to mitigating this negative impact. On the other hand, the psychological reaction of how information effects human behavior should be modeled properly since human emotions and cognition are likely to affect information diffusion. Although it might be difficult to model the reaction directly due to psychologically complex phenomena, it is possible to express a psychological principle that describes the mutual relationships among ambiguity, importance, and rumors. This paper proposes a model of information diffusion that takes into account the ambiguity and importance of information by using information entropy and information vitality introduced in the principle of information engine. The paper also shows that our model has the potential to predict the speed and range of information diffusion. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | social network / information theory / information engine / graph theory / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 157, IT2020-22, pp. 25-30, Sept. 2020. | |
| Paper # | IT2020-22 | |
| Date of Issue | 2020-08-28 (IT) | |
| ISSN | 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 | IT2020-22 |
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| Conference Information | |
| Committee | IT |
| Conference Date | 2020-09-04 - 2020-09-04 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Error correcting codes, General |
| Paper Information | |
| Registration To | IT |
| Conference Code | 2020-09-IT |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Information Diffusion Model in Social Network with Information Vitality and Information Entropy |
| Sub Title (in English) | |
| Keyword(1) | social network |
| Keyword(2) | information theory |
| Keyword(3) | information engine |
| Keyword(4) | graph theory |
| Keyword(5) | |
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| Keyword(8) | |
| 1st Author's Name | Masaaki Miyashita |
| 1st Author's Affiliation | Soka University (Soka Univ.) |
| 2nd Author's Name | Daisuke Kasamatsu |
| 2nd Author's Affiliation | Soka University (Soka Univ.) |
| 3rd Author's Name | Norihiko Shinomiya |
| 3rd Author's Affiliation | Soka University (Soka Univ.) |
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| Speaker | Author-1 |
| Date Time | 2020-09-04 11:10:00 |
| Presentation Time | 25 minutes |
| Registration for | IT |
| Paper # | IT2020-22 |
| Volume (vol) | vol.120 |
| Number (no) | no.157 |
| Page | pp.25-30 |
| #Pages | 6 |
| Date of Issue | 2020-08-28 (IT) |
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