Community structure in P2P networks

Liu Yao, Wang Yong, Yang Lei, Zhiguang Qin
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Abstract

Community structure is a very important property of complex networks. Detecting communities in networks is of great importance in biology, computer science, sociology and so on. In recent years, peer-to-peer (P2P) networks have gained a lot of popularity, but it is still quite difficult to acquire global statistical information. Studying community structure will help researchers use partial statistical information to estimate the global statistical information. This paper reviews some basic concepts, new progress, important algorithms and significant results in the current studies of community structure in P2P networks.
P2P网络中的社区结构
群落结构是复杂网络的一个重要特征。网络社区检测在生物学、计算机科学、社会学等领域具有重要意义。近年来,点对点(P2P)网络得到了广泛的普及,但全球统计信息的获取仍然相当困难。研究群落结构有助于研究人员利用部分统计信息来估计全球统计信息。本文综述了当前P2P网络社区结构研究中的一些基本概念、新进展、重要算法和重要成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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