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Adversarial analysis of similarity-based sign prediction
Artificial Intelligence ( IF 5.1 ) Pub Date : 2024-06-27 , DOI: 10.1016/j.artint.2024.104173 Michał T. Godziszewski , Marcin Waniek , Yulin Zhu , Kai Zhou , Talal Rahwan , Tomasz P. Michalak
Artificial Intelligence ( IF 5.1 ) Pub Date : 2024-06-27 , DOI: 10.1016/j.artint.2024.104173 Michał T. Godziszewski , Marcin Waniek , Yulin Zhu , Kai Zhou , Talal Rahwan , Tomasz P. Michalak
Adversarial social network analysis explores how social links can be altered or otherwise manipulated to hinder unwanted information collection. To date, however, problems of this kind have not been studied in the context of signed networks in which links have positive and negative labels. Such formalism is often used to model social networks with positive links indicating friendship or support and negative links indicating antagonism or opposition.
中文翻译:
基于相似性的符号预测的对抗分析
对抗性社交网络分析探讨了如何改变或以其他方式操纵社交链接以阻止不需要的信息收集。然而,迄今为止,此类问题尚未在链接具有正标签和负标签的签名网络的背景下进行研究。这种形式主义通常用于对社交网络进行建模,其中积极的链接表示友谊或支持,消极的链接表示对抗或反对。
更新日期:2024-06-27
中文翻译:
基于相似性的符号预测的对抗分析
对抗性社交网络分析探讨了如何改变或以其他方式操纵社交链接以阻止不需要的信息收集。然而,迄今为止,此类问题尚未在链接具有正标签和负标签的签名网络的背景下进行研究。这种形式主义通常用于对社交网络进行建模,其中积极的链接表示友谊或支持,消极的链接表示对抗或反对。