Microblog Public Opinion Dynamic Evolution with SIRL Model in the Background of Micro-era
Based on Multi-agent Modeling and Simulation
- DOI
- 10.2991/978-94-6463-024-4_109How to use a DOI?
- Keywords
- SIRL model; Microblog public opinion; Multi-agent modeling
- Abstract
In the context of the micro-era, microblog public opinion has become a new field of network public opinion. Correctly grasping the trend of microblog public opinion is helpful for governance of public opinion. Based on the perspective of multi-agent modelling and simulation, this paper adopts an interdisciplinary research method to constructs a SIRL multi-agent microblog public opinion evolution model, and designs the interaction rules of four types of subjects among microblog ordinary users, government, network media and public opinion leaders. Finally, with the help of the Netlogo simulation platform, this paper describes the evolution process and laws of microblog public opinion through the analysis of whether the government is involved, the influence parameters of the media, the influence of public opinion leaders, and the changes in the parameters of attitude and tendencies.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaoting Yang AU - Baosheng Zhang PY - 2022 DA - 2022/12/12 TI - Microblog Public Opinion Dynamic Evolution with SIRL Model in the Background of Micro-era BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 1051 EP - 1062 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_109 DO - 10.2991/978-94-6463-024-4_109 ID - Yang2022 ER -