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Correlated scale-free network with community: Modeling and transportation dynamics

机译:与社区相关的无标度网络:建模和运输动态

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摘要

Many transport processes on network depend crucially on the underlying network topology. In this paper, we propose a model to generate correlated scale free transportation networks with community structure by considering the mechanisms of dynamical network evolution and rewiring links. With the introduction of congestion effects, we investigate the performance and carrying capacity of this network. The results show that congestion in the uncorrelated network is more serious than the assortative or disassortative ones. Therefore, the correlated network with communities can bear much more traffic flow. In addition, the networks with lager modularity can enhance the transportation efficiently.
机译:网络上的许多传输过程都主要取决于基础网络拓扑。在本文中,我们提出了一种模型,该模型通过考虑动态网络演化和重新布线的机制来生成具有社区结构的相关无尺度交通网络。随着拥塞效应的引入,我们研究了该网络的性能和承载能力。结果表明,不相关网络的拥塞比不相关或不相关的网络更为严重。因此,与社区相关的网络可以承受更多的流量。另外,具有更大模块化的网络可以有效地提高运输效率。

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