Designing sparse temporal graphs satisfying connectivity requirements
Thomas Bellitto, Jules Bouton Popper, Justine Cauvi, Bruno Escoffier, Rapha\"elle Maistre-Matus

TL;DR
This paper explores the minimal number of temporal edges needed to satisfy partial connectivity requests in directed and undirected graphs, providing complexity results and characterizations.
Contribution
It introduces the Connectivity Request Satisfaction problem, deriving formulas for directed graphs and characterizations for undirected graphs, with complexity analyses.
Findings
Directed case: edges needed = n - cc + dfvs, with NP-completeness.
Undirected case: strongly connected request graphs admit solutions with n-1 edges under specific conditions.
Polynomial-time test for the characterization of undirected solutions.
Abstract
Connectivity of temporal graphs has been widely studied both as graph theory and as gossip theory. In particular, it is well known that in order to connect every vertex to every other, a temporal graph needs to have at least edges where is the number of vertices. This paper investigates the optimal number of edges required to satisfy partial connectivity requirements. We introduce the problem of Connectivity Request Satisfaction where we are given a directed graph that we call the request graph, where an arc from to means that we need to be able to go from to . Our goal is to build a temporal graph on the same vertex set with as few temporal edges as possible that would satisfy all the requests. When the graph we build is directed, we prove that the number of temporal arcs required is where is the number of connected…
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