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An Innovative Combinatorial Approach for the Spanning Tree Entropy in Flower Network

机译:花网络中生成树熵的创新组合方法

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The spanning tree entropy of a complex network provides a useful insight about its robustness. The most robust network is the network that has the highest entropy. In this paper, we represent construction of a complex network called Flower Network by using two combinatorial approaches: (1) Bipartition and (2) Reduction. We based both methods on geometrical transformation. We also develop topologi-cal properties of the network, obtain analytical expression for its number of spanning trees. In the end, we calculate and compare its spanning tree entropy with those for other networks having the same average degree of nodes for estimating a robust network.
机译:复杂网络的生成树熵提供了有关其健壮性的有用信息。最健壮的网络是具有最高熵的网络。在本文中,我们使用两种组合方法表示一个复杂的网络,称为花网络的构建:(1)划分和(2)归约。我们将两种方法都基于几何变换。我们还开发了网络的拓扑特性,获得了其生成树数量的解析表达式。最后,我们将其生成树熵与具有相同平均节点度的其他网络的生成树熵进行比较,以估计鲁棒网络。

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