2017/09/30 by Cheng Pan, Lu‐Xing Yang, Lu-Xing Yang +3 · 38 citations
Computer Science · Physics and Astronomy · Social Sciences · #Business #Complex Network Analysis Techniques #Computer science #Misinformation and Its Impacts #Opinion Dynamics and Social Influence #Political science #Public relations #Rumor #cs.SI
paper · pdf · doi:10.1016/j.physa.2018.02.025
published in Physica A Statistical Mechanics and its Applications 500, 80-91 (Elsevier BV)
openalex created_date 2017/09/15 · arxiv created 2017/12/28 · openalex publication_date 2018/02/23 · arxiv updated 2018/04/04 · openalex updated_date 2026/08/05
This paper addresses the issue of suppressing a rumor using the truth in a cost-effective way. First, an individual-level dynamical model capturing the rumor-truth mixed spreading processes is proposed. On this basis, the cost-effective rumor-containing problem is modeled as an optimization problem. Extensive experiments show that finding a cost-effective rumor-containing strategy boils down to enhancing the first truth-spreading rate until the cost effectiveness of the rumor-containing strategy reaches the first turning point. This finding greatly reduces the time spent for solving the optimization problem. The influences of different factors on the optimal cost effectiveness of a rumor-containing strategy are examined through computer simulations. We believe our findings help suppress rumors in a cost-effective way. To our knowledge, this is the first time the rumor-containing problem is treated this way.