An effective rumor-containing strategy
Version 2 2024-06-04, 14:35Version 2 2024-06-04, 14:35
Version 1 2018-03-16, 12:48Version 1 2018-03-16, 12:48
journal contribution
posted on 2024-06-04, 14:35 authored by C Pan, Luxing YangLuxing Yang, X Yang, Y Wu, YY Tang© 2018 Elsevier B.V. False rumors can lead to huge economic losses or/and social instability. Hence, mitigating the impact of bogus rumors is of primary importance. This paper focuses on the problem of how to suppress a false rumor by use of the truth. Based on a set of rational hypotheses and a novel rumor-truth mixed spreading model, the effectiveness and cost of a rumor-containing strategy are quantified, respectively. On this basis, the original problem is modeled as a constrained optimization problem (the RC model), in which the independent variable and the objective function represent a rumor-containing strategy and the effectiveness of a rumor-containing strategy, respectively. The goal of the optimization problem is to find the most effective rumor-containing strategy subject to a limited rumor-containing budget. Some optimal rumor-containing strategies are given by solving their respective RC models. The influence of different factors on the highest cost effectiveness of a RC model is illuminated through computer experiments. The results obtained are instructive to develop effective rumor-containing strategies.
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Journal
Physica a: statistical mechanics and its applicationsVolume
500Pagination
80-91Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0378-4371Language
engPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2018, Elsevier B.VPublisher
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