Assigning times to minimise reachability in temporal graphs

作者:

Highlights:

摘要

Temporal graphs (in which edges are active at specified times) are of particular relevance for spreading processes on graphs, e.g. the spread of disease or dissemination of information. Motivated by real-world applications, modification of static graphs to control this spread has proven a rich topic for previous research. Here, we introduce a new type of modification for temporal graphs: the number of active times for each edge is fixed, but we can change the relative order in which (sets of) edges are active. We investigate the problem of determining an ordering of edges that minimises the maximum number of vertices reachable from any single starting vertex; epidemiologically, this corresponds to the worst-case number of vertices infected in a single disease outbreak. We study two versions of this problem, both of which we show to be NP-hard, and identify cases in which the problem can be solved or approximated efficiently.

论文关键词:Graph modification,Graph contagion,Influence spreading,Temporal paths,Parameterized algorithms

论文评审过程:Received 4 September 2019, Revised 13 August 2020, Accepted 13 August 2020, Available online 20 August 2020, Version of Record 24 August 2020.

论文官网地址:https://doi.org/10.1016/j.jcss.2020.08.001