| アイテムタイプ |
共通アイテムタイプ(1) |
| 公開日 |
2025-04-01 |
| タイトル |
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|
タイトル |
Mitigating opinion polarization in social networks using adversarial attacks |
|
言語 |
en |
| 著者 |
Ninomiya, Michinori
Ichinose, Genki
Chiyomaru, Katsumi
竹本, 和広
|
| 著作権関連情報 |
|
|
権利情報 |
Copyright (c) The Author(s) 2025 |
|
言語 |
en |
| 著作権関連情報 |
|
|
権利情報Resource |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
権利情報 |
This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/. |
| 抄録 |
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内容記述タイプ |
Abstract |
|
内容記述 |
In recent years, the spread of social networking services (SNS) has made it easier to connect with people who have similar opinions. Accordingly, similar opinions are shared within a group, while the frequency of exposure to different opinions tends to decrease. As a result, the polarization of opinion among groups is more likely to occur. Some studies have been conducted to identify the conditions under which opinion polarization occurs by simulating opinion dynamics, but specific methods for mitigating it have been poorly understood. Recently, it was found that even a few artificial perturbations inspired by the adversarial attack reverse the result in voter models, where a minority opinion becomes dominant through these perturbations. In this study, we conducted numerical simulations to determine whether it is possible to mitigate opinion polarization by adding such perturbations to the network in opinion dynamics models. The results show that opinion polarization can be mitigated by strategically generating perturbations to the weights of network links, and the effect increases as the perturbation strength parameter increases. Moreover, our analysis reveals that the effectiveness of this polarization mitigating method is enhanced in larger networks. Our results propose an effective way to prevent polarization of opinion in social networks. |
|
言語 |
en |
| 書誌情報 |
en : Scientific Reports
巻 15,
p. 9033,
発行日 2025-03-16
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| 出版社 |
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|
出版者 |
Nature Publishing Group |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
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|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| DOI |
|
|
|
識別子タイプ |
DOI |
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|
関連識別子 |
https://doi.org/10.1038/s41598-025-93213-z |
| ISSN |
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収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2045-2322 |
| 査読の有無 |
|
|
値 |
yes |
| 研究者情報 |
|
|
URL |
https://hyokadb02.jimu.kyutech.ac.jp/html/100000509_ja.html |
| 論文ID（連携） |
|
|
値 |
10450001 |
| 連携ID |
|
|
値 |
14246 |
10450001.pdf (2.4 MB)
