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arXiv 2202.07307math.ATmath.COq-bio.QM
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有向图的简单$q$ -连通性及其在网络分析中的应用

Simplicial $q$-connectivity of directed graphs with applications to network analysis

Henri Riihimäki

摘要:

有向图是一种普遍存在的网络模型,它所产生的拓扑空间,如有向旗复合体,已成为应用拓扑学中的有用对象。单形由有向团构成。我们将Atkin的$q$ -连通性理论推广到有向单形的情形。这导致了一个前序,其中单形由共享$q$ -面的单形序列相关,所述面相对于由所选面映射指定的方向。我们利用Alexandroff等价的前序和拓扑空间引入一类新的拓扑空间的有向图,使分配新的同伦类型不同的有向旗复合体所看到的单纯同调。我们进一步介绍了简单路径分析,使连接前序。作为一个应用程序,我们通过计算它们的最长单纯路径来识别各种大脑网络之间的结构差异。

英文摘要:

Directed graphs are ubiquitous models for networks, and topological spaces they generate, such as the directed flag complex, have become useful objects in applied topology. The simplices are formed from directed cliques. We extend Atkin's theory of $q$-connectivity to the case of directed simplices. This results in a preorder where simplices are related by sequences of simplices that share a $q$-face with respect to directions specified by chosen face maps. We leverage the Alexandroff equivalence between preorders and topological spaces to introduce a new class of topological spaces for directed graphs, enabling to assign new homotopy types different from those of directed flag complexes as seen by simplicial homology. We further introduce simplicial path analysis enabled by the connectivity preorders. As an application we characterise structural differences between various brain networks by computing their longest simplicial paths.

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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