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| Paper Abstract and Keywords | ||
| Presentation | 2021-03-16 13:00 On Maximizing Utility of Information Diffusion in Social Networks Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.)  MSS2020-52 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | A purpose of information diffusion performed by information providers is to maximize the total utility of users, such as value and profit. However, influence maximization, which only considers the number of information recipients, does not necessarily maximize the sum of the user utility because the users could have diverse utility functions. With an appropriate assumption on the distributions of the user utility functions, it is possible to further increase the total utility from the total utility obtained by influence maximization. Hence, we formulate a utility maximization problem to model utility functions of users with independent cascade model. We also prove the existence of an approximation method for the problem. Computational experiments on random networks show the usefulness of the utility maximization problem. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Utility maximization / influence maximization / information diffusion / social networks / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 429, MSS2020-52, pp. 43-46, March 2021. | |
| Paper # | MSS2020-52 | |
| Date of Issue | 2021-03-08 (MSS) | |
| 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 | MSS2020-52 |
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| Conference Information | |
| Committee | NLP MSS |
| Conference Date | 2021-03-15 - 2021-03-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Paper Information | |
| Registration To | MSS |
| Conference Code | 2021-03-NLP-MSS |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | On Maximizing Utility of Information Diffusion in Social Networks |
| Sub Title (in English) | |
| Keyword(1) | Utility maximization |
| Keyword(2) | influence maximization |
| Keyword(3) | information diffusion |
| Keyword(4) | social networks |
| 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 | 2021-03-16 13:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MSS |
| Paper # | MSS2020-52 |
| Volume (vol) | vol.120 |
| Number (no) | no.429 |
| Page | pp.43-46 |
| #Pages | 4 |
| Date of Issue | 2021-03-08 (MSS) |
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