Supernodes: a generalization of the rich-club

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2022-01-01 DOI:10.1093/comnet/cnab052
Su Yuan Chan;Kerri Morgan;Nicholas Parsons;Julien Ugon;Jonathan Crofts
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Abstract

In this article, we present two new concepts related to subgraph counting where the focus is not on the number of subgraphs that are isomorphic to some fixed graph $H$ , but on the frequency with which a vertex or an edge belongs to such subgraphs. In particular, we are interested in the case where $H$ is a complete graph. These new concepts are termed vertex participation and edge participation, respectively. We combine these concepts with that of the rich-club to identify what we call a Super rich-club and rich edge-club. We show that the concept of vertex participation is a generalization of the rich-club. We present experimental results on randomized Erdös–Rényi and Watts–Strogatz small-world networks. We further demonstrate both concepts on a complex brain network and compare our results to the rich-club of the brain.
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超级节点:富人俱乐部的概括
在本文中,我们提出了两个与子图计数有关的新概念,其中重点不是同构于某个固定图$H$的子图的数量,而是顶点或边属于此类子图的频率。特别是,我们对$H$是一个完整图的情况感兴趣。这些新概念分别被称为顶点参与和边缘参与。我们将这些概念与富裕俱乐部的概念相结合,以确定我们所称的超级富裕俱乐部和富裕边缘俱乐部。我们证明了顶点参与的概念是富裕俱乐部的一个推广。我们介绍了随机Erdös–Rényi和Watts–Strogatz小世界网络的实验结果。我们在复杂的大脑网络上进一步展示了这两个概念,并将我们的结果与大脑的丰富俱乐部进行了比较。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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