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Nodes Having a Major Influence to Break Cooperation Define a Novel Centrality Measure: Game Centrality

机译:对中断合作产生重大影响的节点定义了一种新颖的集中度度量:游戏集中度

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摘要

Cooperation played a significant role in the self-organization and evolution of living organisms. Both network topology and the initial position of cooperators heavily affect the cooperation of social dilemma games. We developed a novel simulation program package, called ‘NetworGame’, which is able to simulate any type of social dilemma games on any model, or real world networks with any assignment of initial cooperation or defection strategies to network nodes. The ability of initially defecting single nodes to break overall cooperation was called as ‘game centrality’. The efficiency of this measure was verified on well-known social networks, and was extended to ‘protein games’, i.e. the simulation of cooperation between proteins, or their amino acids. Hubs and in particular, party hubs of yeast protein-protein interaction networks had a large influence to convert the cooperation of other nodes to defection. Simulations on methionyl-tRNA synthetase protein structure network indicated an increased influence of nodes belonging to intra-protein signaling pathways on breaking cooperation. The efficiency of single, initially defecting nodes to convert the cooperation of other nodes to defection in social dilemma games may be an important measure to predict the importance of nodes in the integration and regulation of complex systems. Game centrality may help to design more efficient interventions to cellular networks (in forms of drugs), to ecosystems and social networks.
机译:合作在活生物体的自组织和进化中发挥了重要作用。网络拓扑和合作者的初始位置都严重影响了社交困境游戏的合作。我们开发了一种新颖的模拟程序包,称为“ NetworGame”,该程序包可以在任何模型或现实世界网络上模拟任何类型的社交困境游戏,并向网络节点分配任何初始合作或叛逃策略。最初使单个节点出现缺陷而破坏整体合作的能力称为“游戏中心”。这项措施的效率已在著名的社交网络上得到验证,并扩展到“蛋白质游戏”,即模拟蛋白质或其氨基酸之间的协作。枢纽,特别是酵母蛋白质-蛋白质相互作用网络的当事人枢纽,对将其他节点的协作转化为叛变具有很大的影响。甲硫氨酰-tRNA合成酶蛋白质结构网络的模拟表明,属于蛋白质内信号通路的节点对破坏合作的影响增加。在社交困境游戏中,单个最初具有缺陷的节点将其他节点的协作转换为叛逃的效率可能是预测节点在复杂系统的集成和调控中的重要性的重要措施。游戏的中心性可能有助于设计针对蜂窝网络(以药物形式),生态系统和社交网络的更有效干预措施。

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  • 期刊名称 other
  • 作者

    Gabor I. Simko; Peter Csermely;

  • 作者单位
  • 年(卷),期 -1(8),6
  • 年度 -1
  • 页码 e67159
  • 总页数 8
  • 原文格式 PDF
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  • 中图分类
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  • 入库时间 2022-08-21 11:21:38

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