Deakin University
Browse

An effective rumor-containing strategy

Version 2 2024-06-04, 14:35
Version 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.

History

Journal

Physica a: statistical mechanics and its applications

Volume

500

Pagination

80-91

Location

Amsterdam, The Netherlands

ISSN

0378-4371

Language

eng

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2018, Elsevier B.V

Publisher

Elsevier