有向简并复数的高阶连接拉普拉斯

IF 2.6 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Xue Gong, Desmond J Higham, Konstantinos Zygalakis, Ginestra Bianconi
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引用次数: 0

摘要

高阶网络对大脑、蛋白质复合体和社会互动等复杂系统中存在的多体相互作用进行编码。简单复合体是一种高阶网络,可以全面研究拓扑和动力学之间的相互作用。然而,简约复合体有一个局限性,即它们只能捕捉无向的高阶互动,而在现实世界中,往往需要引入简约的方向,扩展流行的边的方向概念。在图和网络中,磁拉普拉斯(连接拉普拉斯的一种特例)正成为解决边缘方向性问题的常用算子。在这里,我们考虑到简并方向所引起的配置,提出了高阶连接拉普拉斯,从而解决了处理简并复合物方向性的难题。具体来说,我们定义了维数为二的有向简单复合物的所有连接拉普拉卡,并通过考虑简单复合物的启发性合成示例,讨论了诱导的高阶扩散动力学。当我们要考虑由于入射简并的方向性冲突而产生的非三重挫折效应的高阶扩散时,所提出的高阶扩散过程可以在实际场景中采用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Higher-order connection Laplacians for directed simplicial complexes
Higher-order networks encode the many-body interactions existing in complex systems, such as the brain, protein complexes, and social interactions. Simplicial complexes are higher-order networks that allow a comprehensive investigation of the interplay between topology and dynamics. However, simplicial complexes have the limitation that they only capture undirected higher-order interactions while in real-world scenarios, often there is a need to introduce the direction of simplices, extending the popular notion of direction of edges. On graphs and networks the Magnetic Laplacian, a special case of connection Laplacian, is becoming a popular operator to address edge directionality. Here we tackle the challenge of handling directionality in simplicial complexes by formulating higher-order connection Laplacians taking into account the configurations induced by the simplices’ directions. Specifically, we define all the connection Laplacians of directed simplicial complexes of dimension two and we discuss the induced higher-order diffusion dynamics by considering instructive synthetic examples of simplicial complexes. The proposed higher-order diffusion processes can be adopted in real scenarios when we want to consider higher-order diffusion displaying non-trivial frustration effects due to conflicting directionalities of the incident simplices.
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来源期刊
Journal of Physics Complexity
Journal of Physics Complexity Computer Science-Information Systems
CiteScore
4.30
自引率
11.10%
发文量
45
审稿时长
14 weeks
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