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arXiv 0907.0894cond-mat.dis-nncond-mat.stat-mech
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交互网络上的渗流

Percolation on interacting networks

E. A. Leicht, Raissa M. D'Souza

摘要:

大多数利益网络并不是孤立存在的。相反,它们形成更大系统的组件,其中具有不同拓扑结构的多个网络共存,并且分布在不同网络中的元素可以直接交互。在这里,我们开发了一个数学框架,生成函数的基础上分析系统的L相互作用的网络内和网络之间的连接。我们推导出描述网络系统和每个网络中大规模连通性的渗流阈值的精确表达式。这些一般表达式适用于具有任意度分布的网络,我们明确地评估了L=2的交互网络与几个选择的度分布。我们表明,渗透阈值在一个单独的网络可以显着降低,一旦“隐藏”连接到其他网络被认为是。我们展示了应用程序的框架,以两个现实世界的系统,涉及通信网络和社会技术的软件系统的一致性。

英文摘要:

Most networks of interest do not live in isolation. Instead they form components of larger systems in which multiple networks with distinct topologies coexist and where elements distributed amongst different networks may interact directly. Here we develop a mathematical framework based on generating functions for analyzing a system of L interacting networks given the connectivity within and between networks. We derive exact expressions for the percolation threshold describing the onset of large-scale connectivity in the system of networks and each network individually. These general expressions apply to networks with arbitrary degree distributions and we explicitly evaluate them for L=2 interacting networks with a few choices of degree distributions. We show that the percolation threshold in an individual network can be significantly lowered once "hidden" connections to other networks are considered. We show applications of the framework to two real-world systems involving communications networks and socio-tecnical congruence in software systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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