B.V. (Ben) Meylahn
Faculty of Science
KDV
Visiting address
- Science Park 107
- Room number: F 3.28
Postal address
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Postbus 94248
1090 GE Amsterdam
Contact details
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Profile
Ben studied Industrial Engineering at Stellenbosch University obtaining his Master's degree in March 2021. Since then he has started at the Korteweg-de Vries Institute for Mathematics in the Probability Theory group. His research interests are in modelling trust and learning in the context of network interactions.
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Publications
2024
Meylahn, B. V., & Meylahn, J. M. (2024). How social reinforcement learning can lead to metastable polarisation and the voter model. PLoS ONE, 19(12), Article e0313951. https://doi.org/10.1371/journal.pone.0313951 [details]- Meylahn, B. V., & Searle, C. (2024). Opinion dynamics beyond social influence. Network Science, 12(4), 339-365. https://doi.org/10.1017/nws.2024.14 [details]
- Meylahn, B. V., den Boer, A. V., & Mandjes, M. R. H. (2024). Interpersonal trust: Asymptotic analysis of a stochastic coordination game with multi-agent learning. Chaos, 34(6), Article 063119. https://doi.org/10.1063/5.0205136
- Meylahn, B. V., den Boer, A. V., & Mandjes, M. R. H. (2024). Trusting: Alone and together. Journal of Mathematical Sociology, 48(4), 424-478. https://doi.org/10.1080/0022250X.2024.2340135
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Ancillary activities
No ancillary activities
Meylahn, B. V., & Meylahn, J. M. (2024). How social reinforcement learning can lead to metastable polarisation and the voter model. PLoS ONE, 19(12), Article e0313951.