populations : a review Evolutionary dynamics of group interactions on structured
populations : a review Evolutionary dynamics of group interactions on structured
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DOI：
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发表时间：
2013
影响因子：
3.9
通讯作者：
M. Perc;J. Gómez-Gardeñes;A. Szolnoki;L. Floría;Y. Moreno
中科院分区：
文献类型：
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作者：
M. Perc;J. Gómez-Gardeñes;A. Szolnoki;L. Floría;Y. Moreno
(55文章）biocomplexity类似主题的文章可以在以下集合中找到电子邮件提醒服务在这里文章的右上角或点击接收免费电子邮件提醒当新文章引用这篇文章时，在顶部的框中注册结构化群体上群体相互作用的进化动力学：评论。从细菌菌落到人类社会，生物体之间的相互作用本质上比粒子和非生物物质之间的相互作用更复杂。群体互动是一个特别重要和广泛的类别，其中的代表是公共物品博弈。此外，统计物理学的方法已被证明是有价值的研究模式的形成，平衡选择和自组织在进化游戏。在这里，我们回顾了最近的进展，在结构化种群，包括格子，复杂网络和协同进化模型的群体相互作用的进化动力学研究。我们还比较了这些结果与那些获得良好的混合人口。本文特别强调了群体相互作用动力学的研究，就像生物、经济和社会科学中其他几个重要的平衡和非平衡动力学过程一样，得益于统计物理、网络科学和进化博弈论之间的协同作用。
(55 articles) biocomplexity Articles on similar topics can be found in the following collections Email alerting service here right-hand corner of the article or click Receive free email alerts when new articles cite this article-sign up in the box at the top Evolutionary dynamics of group interactions on structured populations: a review. Interactions among living organisms, from bacteria colonies to human societies, are inherently more complex than interactions among particles and non-living matter. Group interactions are a particularly important and widespread class, representative of which is the public goods game. In addition, methods of statistical physics have proved valuable for studying pattern formation, equilibrium selection and self-organization in evolutionary games. Here, we review recent advances in the study of evolutionary dynamics of group interactions on top of structured populations, including lattices, complex networks and coevolutionary models. We also compare these results with those obtained on well-mixed populations. The review particularly highlights that the study of the dynamics of group interactions, like several other important equilibrium and non-equilibrium dynamical processes in biological, economical and social sciences, benefits from the synergy between statistical physics, network science and evolutionary game theory.