Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models.

@inproceedings{lenti-2024-likelihoodbased, author = {Jacopo Lenti and Corrado Monti and Gianmarco De Francisci Morales}, editor = {Luz Angelica Caudillo-Mata and Silvio Lattanzi and Andr\'{e}s Mu\~{n}oz Medina and Leman Akoglu and Aristides Gionis and Sergei Vassilvitskii}, title = {{Likelihood-Based Methods Improve Parameter Estimation in Opinion Dynamics Models}}, booktitle = {{Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024}}, pages = {350--359}, publisher = {ACM}, year = {2024}, url = {https://doi.org/10.1145/3616855.3635785}, doi = {https://doi.org/10.1145/3616855.3635785} }