Fast approximation of centrality and distances in hyperbolic graphs

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Abstract

We show that the eccentricities (and thus the centrality indices) of all vertices of a δ-hyperbolic graph G=(V, E) can be computed in linear time with an additive one-sided error of at most cδ, i.e., after a linear time preprocessing, for every vertex v of G one can compute in O(1) time an estimate ê(v) of its eccentricity ecc G (v) such that (Formula presented) for a small constant c. We prove that every δ-hyperbolic graph G has a shortest path tree, constructible in linear time, such that for every vertex v of G, (Formula presented). We also show that the distance matrix of G with an additive one-sided error of at most c′δ can be computed in O(|V| 2 log 2 |V|) time, where c′

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Chepoi, V., Dragan, F. F., Habib, M., Vaxès, Y., & Alrasheed, H. (2018). Fast approximation of centrality and distances in hyperbolic graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11346 LNCS, pp. 3–18). Springer Verlag. https://doi.org/10.1007/978-3-030-04651-4_1

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