The dichotomy in degree correlation of biological networks.
The dichotomy in degree correlation of biological networks.
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DOI：
10.1371/journal.pone.0028322
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发表时间：
2011
期刊：
影响因子：
3.7
通讯作者：
Li C
中科院分区：
文献类型：
--
作者：
Hao D;Li C
大多数来自不同领域的复杂网络，如生物学，社会学或技术，都显示出节点度的相关性，其中两个节点之间链接的可能性取决于它们的连通性。人们普遍认为，复杂网络要么是分离的（枢纽之间的联系被系统地抑制），要么是分离的（枢纽之间的联系被增强）。在本文中，我们分析了各种生物网络，发现它们一般表现出二分度相关性。我们发现，生物网络的许多性质都可以用度相关性的二分法来解释，包括邻域连通性、镰刀形聚类系数分布和模块结构.这种二分法将生物网络与真实的推理网络或推理网络（如互联网和社交网络）区分开来。我们认为，网络的模块化结构的二分法的程度相关性，反之亦然，揭示了生物网络的模块化的来源。我们进一步表明，一个强大的，连接良好的网络需要二分法的程度相关性，暗示其存在的进化动机。最后，我们认为，二分度相关有利于一个中心连接的模块化网络，网络的完整性和模块的特异性可能会协调。
Most complex networks from different areas such as biology, sociology or technology, show a correlation on node degree where the possibility of a link between two nodes depends on their connectivity. It is widely believed that complex networks are either disassortative (links between hubs are systematically suppressed) or assortative (links between hubs are enhanced). In this paper, we analyze a variety of biological networks and find that they generally show a dichotomous degree correlation. We find that many properties of biological networks can be explained by this dichotomy in degree correlation, including the neighborhood connectivity, the sickle-shaped clustering coefficient distribution and the modularity structure. This dichotomy distinguishes biological networks from real disassortative networks or assortative networks such as the Internet and social networks. We suggest that the modular structure of networks accounts for the dichotomy in degree correlation and vice versa, shedding light on the source of modularity in biological networks. We further show that a robust and well connected network necessitates the dichotomy of degree correlation, suggestive of an evolutionary motivation for its existence. Finally, we suggest that a dichotomous degree correlation favors a centrally connected modular network, by which the integrity of network and specificity of modules might be reconciled.
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