利用博弈论策略和人工智能分析社会网络:综述

Mohammed Miaji, Yaser Miaji
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引用次数: 0

摘要

与新朋友联系和扩大现有的社交圈子只是个人使用社交网络平台可能获得的众多好处之一。社交网络促进了有效的沟通与合作,提供了商业前景,并提供了可观的社会效益。使用假设、定义、分析、建模和优化技术,社会网络问题研究是富有成效的。在本研究中,我们将博弈论应用于社交网络的已知挑战分为四类:信息传播、行为分析、社区发现和信息安全。在知识应用方面,每个类别都可以被清楚地掌握。在当前研究的基础上,我们审视了博弈论的局限性,并提出了未来社会网络研究的路径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting Game Theory Strategy and Artificial Intelligent to Analyze Social Networks: A Comprehensive Survey
Connecting with new people and expanding existing social squares is only one of the many benefits individuals may get from using social networking platforms. Social networks facilitate effective communication and cooperation, provide commercial prospects, and offer substantial social benefit. Using assumption, definition, analysis, modeling, and optimization techniques, social network issue research is productive. In this research, we categorize the known challenges of game theory applied to social networks into four categories: information dissemination, behavior analysis, community discovery, and information security. Every category may be clearly mastered in terms of knowledge application. On the basis of current research, we examine the limits of game theory and suggest future paths for social network research.
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