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Network reliability: The effect of local network structure on diffusive processes

机译:网络可靠性:本地网络结构对扩散过程的影响

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摘要

This paper reintroduces the network reliability polynomial, introduced by Moore and Shannon [Moore andnShannon, J. Franklin Inst. 262, 191 (1956)], for studying the effect of network structure on the spread of diseases.nWe exhibit a representation of the polynomial that is well suited for estimation by distributed simulation. Wendescribe a collection of graphs derived from Erd˝os-R´enyi and scale-free-like random graphs in which we havenmanipulated assortativity-by-degree and the number of triangles. We evaluate the network reliability for all ofnthese graphs under a reliability rule that is related to the expected size of a connected component. Through thesenextensive simulations, we show that for positively or neutrally assortative graphs, swapping edges to increase thennumber of triangles does not increase the network reliability. Also, positively assortative graphs are more reliablenthan neutral or disassortative graphs with the same number of edges. Moreover, we show the combined effectnof both assortativity-by-degree and the presence of triangles on the critical point and the size of the smallestnsubgraph that is reliable.
机译:本文重新介绍了网络可靠性多项式,由Moore和Shannon提出[Moore andnShannon,J. Franklin Inst。 262,191(1956)],用于研究网络结构对疾病传播的影响。n我们展示了多项式的表示形式,非常适合通过分布式仿真进行估计。 Wendescribe了一组从Erd˝os-R'enyi衍生的图形和无标度的随机图,其中我们没有按度数和三角形的数量进行分类。我们根据与连接组件的预期大小有关的可靠性规则评估所有这些图的网络可靠性。通过广泛的仿真,我们显示出对于正或中立的分类图,交换边以增加三角形的数量并不会增加网络的可靠性。同样,与具有相同边数的中立或可分解图相比,正可分解图更可靠。此外,我们显示了按度分类和在临界点上存在三角形以及可靠的最小子图的大小的组合效果。

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  • 来源
    《PHYSICAL REVIEW E》 |2013年第5期|1-10|共10页
  • 作者单位

    Network Dynamics and Simulation Science Laboratory Virginia Bioinformatics Institute Virginia Polytechnic InstituteState University Blacksburg Virginia 24061 USA;

    Network Dynamics and Simulation Science Laboratory Virginia Bioinformatics Institute Virginia Polytechnic InstituteState University Blacksburg Virginia 24061 USADepartment of Physics Virginia Polytechnic Institute and State University Blacksburg Virginia 24061 USA;

    Network Dynamics and Simulation Science Laboratory Virginia Bioinformatics Institute Virginia Polytechnic InstituteState University Blacksburg Virginia 24061 USADepartment of Physics Virginia Polytechnic Institute and State University Blacksburg Virginia 24061 USADepartment of Population Health Sciences Virginia Polytechnic Institute and State University Blacksburg Virginia 24061 USA;

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