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Assortativity Properties of Scale-Free Networks

机译:无规模网络的assortality属性

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Nodes distribution by degrees is the most important characteristic of complex networks, but not comprehensive one. While degree distribution is a first order graph metric, the assortativity is a second order one. Assortativity coefficient is a measure of a tendency for nodes in networks to connect with similar or dissimilar ones in some way. As a simplest case, assortative mixing is considered according to nodes degree. In general, degree distribution forms an essential restriction both on the network structure and on assortativity coefficient boundaries. The problem of determining the structure of SF- networks having an extreme assortativity coefficient is considered. The estimates of boundaries for assortativity coefficient have been found. It was found, that these boundaries are as wider as scaling factor of SF-model is far from one of BA-model. In addition, the boundaries are narrowing with increasing the network size.
机译:节点分布为度数是复杂网络最重要的特征,但并不全面。虽然学位分布是一阶图度量,但assortity是第二阶。 assortativity系数是一种衡量网络中节点的趋势,以某种方式与相似或不同的形式连接。作为最简单的情况,根据节点度考虑各种混合。通常,学位分布在网络结构和差异系数边界上形成了必要的限制。考虑确定具有极端差异系数的SF网络结构的问题。已经发现了差异系数的边界的估计。它发现,这些边界与SF-Model的缩放因子远离BA模型之一一样更广泛。此外,界限随着网络尺寸的增加而缩小。

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