A Scalable Opinion Dynamics Model Based on the Markovian Agent Paradigm
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-25049-1_12
Reference12 articles.
1. Banisch, S., Lima, R., Araújo, T.: Agent based models and opinion dynamics as Markov chains. Soc. Netw. 34(4), 549–561 (2012)
2. Simulation Foundations, Methods and Applications;A Bobbio,2016
3. Bolzern, P., Colaneri, P., De Nicolao, G.: Opinion influence and evolution in social networks: a Markovian agents model. Automatica 100, 219–230 (2019). https://doi.org/10.1016/j.automatica.2018.11.023
4. Bruneo, D., Scarpa, M., Bobbio, A., Cerotti, D., Gribaudo, M.: Markovian agent modeling swarm intelligence algorithms in wireless sensor networks. Perform. Eval. 69(3–4), 135–149 (2012). https://doi.org/10.1016/j.peva.2010.11.007. Selected papers from ValueTools 2009
5. El-Diraby, T., Shalaby, A., Hosseini, M.: Linking social, semantic and sentiment analyses to support modeling transit customers’ satisfaction: towards formal study of opinion dynamics. Sustain. Cities Soc. 49, 101578 (2019)
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