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arXiv 1503.05081math.PRcs.SIphysics.soc-ph
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部分有向图的结构模型

The Configuration Model for Partially Directed Graphs

Kristoffer Spricer, Tom Britton

摘要:

配置模型最初是为无向网络定义的,最近已扩展到有向网络。然而,许多经验网络既不是无向的,也不是完全有向的,而是通常部分有向的,这意味着某些边是有向的,而其他边是无向的。在本文中,我们定义了一个配置模型,这样的网络中的节点有在,出,和无向度,可能是依赖的。我们证明的条件下,所得到的度分布收敛到预期的度分布。新模型被证明是更好地近似几个经验网络相比,无向和完全有向网络。

英文摘要:

The configuration model was originally defined for undirected networks and has recently been extended to directed networks. Many empirical networks are however neither undirected nor completely directed, but instead usually partially directed meaning that certain edges are directed and others are undirected. In the paper we define a configuration model for such networks where nodes have in-, out-, and undirected degrees that may be dependent. We prove conditions under which the resulting degree distributions converge to the intended degree distributions. The new model is shown to better approximate several empirical networks compared to undirected and completely directed networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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