A fast algorithm for source-wise round-trip spanners

摘要

In this paper, we study the problem of fast constructions of source-wise round-trip spanners in weighted directed graphs. For a source vertex set S subset of V in a graph G(V, E), an S-sourcewise round-trip spanner of G of stretch k is a subgraph H of G such that for every pair of vertices u, v is an element of S x V, their round-trip distance in H is at most k times of their round-trip distance in G. We show that for a graph G(V, E) with n vertices and m edges, an s-sized source vertex set S subset of V and an integer k >1, there exists an algorithm that in time O (ms(1/k) log(5) n) constructs an S-sourcewise round-trip spanner of stretch O(k log n) and O (ns(1/k) log(2) n) edges with high probability. Compared to the fast algorithms for constructing all-pairs round-trip spanners [26,12], our algorithm improves the running time and the number of edges in the spanner when k is super-constant. Compared with the existing algorithm for constructing source-wise round-trip spanners [36], our algorithm significantly improves their construction time c2(min{ms, n omega}) (where omega is an element of [2, 2.373) and 2.373 is the matrix multiplication exponent) to nearly linear O (ms1/k log5 n), at the expense of paying an extra O (log n) in the stretch. As an important building block of the algorithm, we develop a graph partitioning algorithm to partition G into clusters of bounded radius and prove that for every u, v is an element of S x V at small round-trip distance, the probability of separating them in different clusters is small. The algorithm takes the size of S as input and does not need the knowledge of S. With the algorithm and a reachability vertex size estimation algorithm, we show that the recursive algorithm for constructing standard round-trip spanners [26] can be adapted to the source-wise setting. We rigorously prove the correctness and computational complexity of the adapted algorithms. Finally, we show how to remove the dependence on the edge weight in the source-wise case. (C) 2021 Elsevier B.V. All rights reserved.