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| Presentation | 2017-11-17 12:20 Information Diffusion Model for Analyzing Temporal Variation of Contents Posted to SNSs Keisuke Nakajima, Masato Minamikawa, Shigeo Shioda (Chiba Univ.)  CQ2017-84 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | When an impressive event occurs in the real world, several contents related to the event are posted to the SNSs; the popularity of the contents rapidly grows and, after a peak, it usually fades over time. In this paper, we explain this temporal variation of contents in the SNSs by using the SIR model, which is often used as a mathematical model of infectious diseases. We find that the temporal variation of the number of contents posted to the SNSs largely depends on the network structure, for example, the degree of the source node of the content. We also find that the simulation results are very consistent with the analytical results obtained by the assumption that the states of neighbor nodes are not independent but strongly correlated. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | SNS / contents / SIR model / simulation / infectious desease / information diffusion / Markov chain / | |
| Reference Info. | IEICE Tech. Rep., vol. 117, no. 304, CQ2017-84, pp. 79-84, Nov. 2017. | |
| Paper # | CQ2017-84 | |
| Date of Issue | 2017-11-09 (CQ) | |
| 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 | CQ2017-84 |
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| Conference Information | |
| Committee | ICM CQ NS NV |
| Conference Date | 2017-11-16 - 2017-11-17 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2017-11-ICM-CQ-NS-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Information Diffusion Model for Analyzing Temporal Variation of Contents Posted to SNSs |
| Sub Title (in English) | |
| Keyword(1) | SNS |
| Keyword(2) | contents |
| Keyword(3) | SIR model |
| Keyword(4) | simulation |
| Keyword(5) | infectious desease |
| Keyword(6) | information diffusion |
| Keyword(7) | Markov chain |
| Keyword(8) | |
| 1st Author's Name | Keisuke Nakajima |
| 1st Author's Affiliation | Chiba University (Chiba Univ.) |
| 2nd Author's Name | Masato Minamikawa |
| 2nd Author's Affiliation | Chiba University (Chiba Univ.) |
| 3rd Author's Name | Shigeo Shioda |
| 3rd Author's Affiliation | Chiba University (Chiba Univ.) |
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| Speaker | Author-1 |
| Date Time | 2017-11-17 12:20:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2017-84 |
| Volume (vol) | vol.117 |
| Number (no) | no.304 |
| Page | pp.79-84 |
| #Pages | 6 |
| Date of Issue | 2017-11-09 (CQ) |
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