Abstract
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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CITATION STYLE
Miaji, M., & Miaji, Y. (2022). Exploiting Game Theory Strategy and Artificial Intelligent to Analyze Social Networks: A Comprehensive Survey. In 2022 17th International Workshop on Semantic and Social Media Adaptation and Personalization, SMAP 2022. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SMAP56125.2022.9941773
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