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Efficiency of transportation on weighted extended Koch networks

机译:加权扩展Koch网络上的运输效率

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In this paper, we propose a family of weighted extended Koch networks based on a class of extended Koch networks. They originate from a r-complete graph, and each node in each r-complete graph of current generation produces mr-complete graphs whose weighted edges are scaled by factor h in subsequent evolutionary step. We study the structural properties of these networks and random walks on them. In more detail, we calculate exactly the average weighted shortest path length (AWSP), average receiving time (ART) and average sending time (AST). Besides, the technique of resistor network is employed to uncover the relationship between ART and AST on networks with unit weight. In the infinite network order limit, the average weighted shortest path lengths stay bounded with growing network order (0 < h < 1). The closed form expression of ART shows that it exhibits a sub-linear dependence (0 < h < 1) or linear dependence (h = 1) on network order. On the contrary, the AST behaves super-linearly with the network order. Collectively, all the obtained results show that the efficiency of message transportation on weighted extended Koch networks has close relation to the network parameters h, m and r. All these findings could shed light on the structure and random walks of general weighted networks.
机译:在本文中,我们提出了基于一类扩展Koch网络的加权扩展Koch网络族。它们起源于一个r完备图,当前生成的每个r完备图中的每个节点都生成mr完备图,其加权边在后续的进化步骤中按h缩放。我们研究了这些网络的结构特性,并对它们进行了随机游动。更详细地,我们精确计算平均加权最短路径长度(AWSP),平均接收时间(ART)和平均发送时间(AST)。此外,还采用电阻网络技术揭示了单位重量网络上ART与AST之间的关系。在无限网络阶数限制中,平均加权最短路径长度保持与不断增长的网络阶数(0

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