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On the Complexity of Target Set Selection in Simple Geometric Networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F24%3A00375755" target="_blank" >RIV/68407700:21240/24:00375755 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.46298/dmtcs.11591" target="_blank" >https://doi.org/10.46298/dmtcs.11591</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.46298/dmtcs.11591" target="_blank" >10.46298/dmtcs.11591</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On the Complexity of Target Set Selection in Simple Geometric Networks

  • Original language description

    We study the following model of disease spread in a social network. At first, all individuals are either infected or healthy. Next, in discrete rounds, the disease spreads in the network from infected to healthy individuals such that a healthy individual gets infected if and only if a sufficient number of its direct neighbors are already infected. We represent the social network as a graph. Inspired by the real-world restrictions in the recent epidemic, especially by social and physical distancing requirements, we restrict ourselves to networks that can be represented as geometric intersection graphs. We show that finding a minimal vertex set of initially infected individuals to spread the disease in the whole network is computationally hard, already on unit disk graphs. Hence, to provide some algorithmic results, we focus ourselves on simpler geometric graph classes, such as interval graphs and grid graphs.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GA22-19557S" target="_blank" >GA22-19557S: New Frontiers in Computational Social Choice</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Discrete Mathematics and Theoretical Computer Science

  • ISSN

    1462-7264

  • e-ISSN

    1365-8050

  • Volume of the periodical

    26

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    FR - FRANCE

  • Number of pages

    26

  • Pages from-to

    1-26

  • UT code for WoS article

    001339628500001

  • EID of the result in the Scopus database

    2-s2.0-85203108066