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Promotion of cooperation in public goods game by Socialized Speed-Restricted movement

机译：社会化限速运动促进公益游戏合作

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This paper studies the formation of cooperation in mobile networks following an Evolutionary Game Theory (EGT) approach. Motivated by real-world human motions in mobile social networks, we propose a Socialized Speed-Restricted Mobility (SSRM) model to simulate users' movement. Interactions among mobile users are formulated as public goods game. To validate the SSRM model, we first derive its approximated degree distribution, and prove that exponential and power-law degree networks can be constructed from SSRM. Then we conduct extensive simulations to study the evolution of cooperation. In contrast to the recent work which concluded that random and homogeneous movement is harmful to cooperation, we find cooperation is in fact promoted in mobile networks driven by SSRM. This is mainly due to a reduction of randomness in users' neighborhood, as well as the degree heterogeneity. Results in this paper are helpful in understanding cooperative behaviors in mobile social networks. Our EGT framework can be further used to study the performance of specific cooperation-based protocols.
机译：本文研究了遵循进化博弈论（EGT）方法的移动网络中合作的形成。受移动社交网络中现实世界中人类动作的激励，我们提出了一种社交化限速移动（SSRM）模型来模拟用户的移动。移动用户之间的互动被表述为公益游戏。为了验证SSRM模型，我们首先导出其近似度分布，并证明可以从SSRM构造指数和幂律度网络。然后，我们进行广泛的模拟来研究合作的演变。与最近的结论是随机和同质运动对合作有害的工作相反，我们发现合作实际上是在SSRM驱动的移动网络中促进的。这主要是由于减少了用户邻域中的随机性以及程度的异质性。本文的结果有助于理解移动社交网络中的合作行为。我们的EGT框架可以进一步用于研究基于特定合作的协议的性能。

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