2019/11/25 by Semra Gündüç, Semra Gunduc
Computer Science · Physics and Astronomy · #Complex Network Analysis Techniques #Conviction #Opinion Dynamics and Social Influence #Opinion leadership #Power (physics) #Process (computing) #Public opinion #Social media #Theoretical and Computational Physics #Value (mathematics) #cs.SI #physics.soc-ph
paper · pdf · doi:10.1007/978-3-030-36683-4_31
published as Complex Networks and Their Applications VIII , Volume 2 Proceedings of the Eighth International Conferance on Complex Networks and Their Applications COMPLEX NETWORKS (Springer, 2019) (PP: 376) · 14 pages
openalex publication_date 2019/11/25 · openalex created_date 2019/12/05 · arxiv created 2021/03/13 · arxiv updated 2021/03/16 · openalex updated_date 2026/08/04
In this paper, the influence of the social media on the opinion formation process is modeled during an election campaign. In the proposed model, peer- to-peer interactions and targeted online propaganda messages are assumed to be the driving forces of the opinion formation dynamics. The conviction power of the targeted messages is based on the collected and processed private information. In this work, the model is based on an artificial society, initially evenly divided between two parties. The bounded confidence model governs peer-to-peer interactions with a value of confidence parameter which leads to consensus. The targeted messages which was modeled as an external interacting source of information convert some weakly committed individuals to break this evenness. Both parties use the same methods for propaganda. It is shown that a very small external influence break the evenness of the opinion distribution which play significant role in the election results. Obtained opinion fluctuation time series have close resemblance with the actual election poll results.