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Why Do People Use Social Media? Agent-Based Simulation and Population Dynamics Analysis of the Evolution of Cooperation in Social Media

机译:人们为什么使用社交媒体?社交媒体合作演化的基于Agent的仿真和种群动力学分析

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Why do people use social media, even though they must pay certain costs for generating content? The purpose of this study is to answer a more pointed question: What type of mechanism can encourage the continuous participation of users in social media? To address this question, we clarify various conditions that must be met to motivate users to voluntarily provide information in social media. In this work, we use the framework of ``the public goods game'' to describe user behaviors such as posting articles and comments. We first describe the communication carried out in specific social media by extending the metanorms game, which issues both rewards for cooperation and punishments for non-cooperation. We further develop a simulation model to clarify the conditions needed to create a cooperation-dominant environment, which we define as a world where nearly everyone cooperates in the sense used in game theory. From the results of our agent-based simulation, it is clear that the rewards for cooperation and the rewards for rewards given by others can work to encourage cooperation. Furthermore, we analyze the relationships between the costs and benefits of cooperation by using dynamics analysis. Consequently, we clarify that cooperative behaviors are dominant when the benefits of cooperation are larger than the costs of rewarding other users.
机译:人们为什么使用社交媒体,即使他们必须支付一定的生成内容费用?这项研究的目的是回答一个更尖锐的问题:哪种类型的机制可以鼓励用户持续参与社交媒体?为了解决这个问题,我们阐明了激发用户自愿在社交媒体中提供信息所必须满足的各种条件。在这项工作中,我们使用``公益游戏''的框架来描述用户行为,例如发布文章和评论。我们首先通过扩展元规范博弈来描述在特定社交媒体中进行的交流,该博弈同时发布了对合作的奖励和对不合作的惩罚。我们进一步开发了一个仿真模型,以阐明创建以合作为主导的环境所需的条件,我们将该环境定义为一个几乎每个人都按照博弈论的意义进行合作的世界。从基于代理的模拟结果来看,很明显,合作的奖励和他人给予的奖励可以起到鼓励合作的作用。此外,我们通过使用动力学分析来分析合作成本与收益之间的关系。因此,我们澄清了,当合作的收益大于奖励其他用户的成本时,合作行为将占主导地位。

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