 Rumor spreading model with considering debunking behavior in emergenciesYong Tian and Xuejun Ding Applied Mathematics and Computation, 2019, vol. 363, issue C, - Abstract: Rumor spreading in OSNs has been posing a significant threat to maintain the normal social order. In recent years, extensive efforts have been directed towards studying the rumor dynamics based on epidemic models, assuming that only the rumor cascades exist in the network for a specific event. In this paper, a novel rumor spreading model called ILRDS is proposed to describe the rumor dynamics in OSNs under emergencies. Different from previous studies, the model considers that when an ignorant is exposed to a rumor or counter-rumor, he or she will change into a latent with one of three different attitudes toward the rumor. Furthermore, the influence of debunking behavior and varying total population on the rumor dynamics are also investigated in this paper. Then, the stability of ILRDS model is analyzed by using the Lyapunov function-based method and Poincarè–Bendixson property. Finally, simulations are carried out to describe the influence of different parameters on the rumor spreading process, and the corresponding management strategies for restraining the rumor spreading under the emergencies are also discussed in this paper. Keywords: Rumor spreading; Online social networks; Debunking behavior; Emergency (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:363:y:2019:i:c:50 DOI: 10.1016/j.amc.2019.124599 Access Statistics for this article Applied Mathematics and Computation is currently edited by Theodore Simos More articles in Applied Mathematics and Computation from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.