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考虑顶点重要性度量的连通支配集计算

Calculation of the Connected Dominating Set Considering Vertex Importance Metrics.

作者信息

Vazquez-Araujo Francisco, Dapena Adriana, Souto-Salorio María José, Castro Paula M

机构信息

Department of Computer Engineering, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, Spain.

Department of Computation, Universidade da Coruña, Campus de Elviña, 15071 A Coruña, Spain.

出版信息

Entropy (Basel). 2018 Jan 28;20(2):87. doi: 10.3390/e20020087.

Abstract

The computation of a set constituted by few vertices to define a virtual backbone supporting information interchange is a problem that arises in many areas when analysing networks of different natures, like wireless, brain, or social networks. Recent papers propose obtaining such a set of vertices by computing the connected dominating set (CDS) of a graph. In recent works, the CDS has been obtained by considering that all vertices exhibit similar characteristics. However, that assumption is not valid for complex networks in which their vertices can play different roles. Therefore, we propose finding the CDS by taking into account several metrics which measure the importance of each network vertex e.g., error probability, entropy, or entropy variation (EV).

摘要

计算由少量顶点构成的集合以定义支持信息交换的虚拟骨干是一个在分析不同性质的网络(如无线、大脑或社交网络)时在许多领域都会出现的问题。最近的论文提出通过计算图的连通支配集(CDS)来获得这样一组顶点。在最近的工作中,CDS是通过假设所有顶点都表现出相似特征而获得的。然而,对于其顶点可能扮演不同角色的复杂网络,该假设是无效的。因此,我们建议通过考虑几个衡量每个网络顶点重要性的指标(例如,错误概率、熵或熵变化(EV))来找到CDS。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16bd/7512650/efd005801bf4/entropy-20-00087-g001.jpg

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