摘要翻译：
在这篇文章中，我们介绍了本地附件作为对等网络、社交网络或其他类型网络的通用网络连接协议。基于该协议，有限规模网络中的节点动态创建幂律连通性分布。节点或对等点通过只合并本地信息以自组织的统计方式维护它们。我们通过大量的数值模拟研究了这种局部附着网络的结构和宏观性质，包括指数之间的相关性和标度关系。进一步研究了幂律度分布的出现，将非线性吸引函数作为局部依附的近似模型，考虑优先依附。本研究建议在未来的对等网络协议中加入本地连接方案，以在不断变化的环境中高效地生成稳定的网络拓扑。
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英文标题：
《Local attachment in networks under churn》
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作者：
Heiko Bauke and David Sherrington
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最新提交年份：
2007
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分类信息：

一级分类：Physics        物理学
二级分类：Statistical Mechanics        统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
  In this contribution we introduce local attachment as an universal network-joining protocol for peer-to-peer networks, social networks, or other kinds of networks. Based on this protocol nodes in a finite-size network dynamically create power-law connectivity distributions. Nodes or peers maintain them in a self-organized statistical way by incorporating local information only. We investigate the structural and macroscopic properties of such local attachment networks by extensive numerical simulations, including correlations and scaling relations between exponents. The emergence of the power-law degree distribution is further investigated by considering preferential attachment with a nonlinear attractiveness function as an approximative model for local attachment. This study suggests the local attachment scheme as a procedure to be included in future peer-to-peer protocols to enable the efficient production of stable network topologies in a continuously changing environment.
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PDF链接：
https://arxiv.org/pdf/706.0018