Leanness Computation: Small Values and Special Graph Classes

David Coudert, Samuel Coulomb, G. Ducoffe
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Abstract

Let u and v be vertices in a connected graph G = (V, E). For any integer k such that 0 ≤ k ≤ dG (u, v), the k-slice Sk (u, v) contains all vertices x on a shortest uv-path such that dG (u, x) = k. The leanness of G is the maximum diameter of a slice. This metric graph invariant has been studied under different names, such as "interval thinness" and "fellow traveler property". Graphs with leanness equal to 0, a.k.a. geodetic graphs, also have received special attention in Graph Theory. The practical computation of leanness in real-life complex networks has been studied recently (Mohammed et al., COMPLEX NETWORKS'21). In this paper, we give a finer-grained complexity analysis of two related problems, namely: deciding whether the leanness of a graph G is at most some small value ℓ; and computing the leanness on specific graph classes. We obtain improved algorithms in some cases, and time complexity lower bounds under plausible hypotheses.
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精益计算:小值和特殊图类
假设 u 和 v 是连通图 G = (V, E) 中的顶点。对于 0 ≤ k ≤ dG (u, v) 的任意整数 k,k 切片 Sk (u, v) 包含最短 uv 路径上的所有顶点 x,且 dG (u, x) = k。这种度量图不变式有不同的研究名称,如 "区间稀疏性 "和 "同路人属性"。精益度等于 0 的图,又称大地图,在图论中也受到特别关注。最近,人们研究了现实生活中复杂网络中精简度的实际计算(穆罕默德等人,COMPLEX NETWORKS'21)。在本文中,我们对两个相关问题进行了更细粒度的复杂性分析,这两个问题分别是:判断图 G 的精简度是否最多为某个小值 ℓ;以及计算特定图类的精简度。我们获得了某些情况下的改进算法,以及在合理假设下的时间复杂度下限。
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