由角色间连通性剖面定义的复杂网络类
Classes of complex networks defined by role-to-role connectivity profiles
摘要：
在物理、生物、技术和社会系统中，单元之间的相互作用通常会产生具有非平凡结构的内在网络，它严重影响系统的动力学和性质。当前复杂网络研究的重点是全局网络性质。这种方法的一个警告是，全局属性的相关性取决于网络是同质的前提，而大多数现实世界的网络具有明显的模块化结构。在这里，我们报告说，具有不同功能的网络，包括互联网，代谢，航空运输和蛋白质相互作用网络，具有不同角色的节点之间具有不同的连接模式，因此，复杂网络可以根据其链接类型频率分为两种不同的功能类别。重要的是，我们证明了上述结构特征不能通过经常研究的全局性质来捕获。
英文摘要：
Interactions between units in phyical, biological, technological, and social systems usually give rise to intrincate networks with non-trivial structure, which critically affects the dynamics and properties of the system. The focus of most current research on complex networks is on global network properties. A caveat of this approach is that the relevance of global properties hinges on the premise that networks are homogeneous, whereas most real-world networks have a markedly modular structure. Here, we report that networks with different functions, including the Internet, metabolic, air transportation, and protein interaction networks, have distinct patterns of connections among nodes with different roles, and that, as a consequence, complex networks can be classified into two distinct functional classes based on their link type frequency. Importantly, we demonstrate that the above structural features cannot be captured by means of often studied global properties.
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