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Stratified cohesiveness in complex business networks

机译:复杂商业网络中的分层凝聚力

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In this work, we propose a measure that aims at assessing the position of a node with respect to the interconnected groups of nodes existing in a network. In particular, since the nodes of a network can be placed at different distances from cohesive groups, we extend the standard concept of clustering coefficient and provide the local l-adjacency clustering coefficient of a node i as an opportunely weighted mean of the clustering coefficients of nodes which are at distance l from i. Thus, the standard clustering coefficient is a peculiar local l-adjacency clustering coefficient for l = 0. As l varies, the local l-adjacency clustering coefficient is then used to infer insights on the position of each node in the overall structure. Empirical experiments on special business networks are carried out. In particular, the analysis of air traffic networks validate the theoretical proposal and provide supporting arguments on its usefulness.
机译:在这项工作中,我们提出了一种旨在评估节点相对于网络中存在的互连节点组的位置的措施。 特别地,由于网络的节点可以放置在来自粘性组的不同距离处,因此我们扩展了聚类系数的标准概念,并提供节点I的局部L邻接聚类系数作为聚类系数的适当加权平均值 来自i的距离l的节点。 因此,标准聚类系数是L = 0的特殊局部L邻接聚类系数。随着L的变化,局部L邻接聚类系数然后用于推断对整个结构中每个节点的位置的见解。 进行特殊商业网络的实证实验。 特别是,空中交通网络的分析验证了理论提案并提供了对其有用性的支持争论。

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