Research papers
Published papers
Meijerink et al. (2022a). Discovering trends of social interaction over time: An introduction to relational event modeling. Behavioral Research Methods.
Meijerink et al. (2022b). Dynamic relational event modeling: Testing, exploring, and applying. PLOS ONE.
Shafiee Kamalabad et al. (2021). What’s the Point of Change? Change Point Detection in Relational Event Analysis.
Mulder & Leenders. Modeling the evolution of interaction behavior in social networks: A dynamic relational event approach for real-time analysis. Chaos, Solitons & Fractals, 119, 73-85.
Karimova et al. (2022a). Separating the Wheat from the Chaff: Bayesian Regularization in Dynamic Social Networks.
Karimova et al. (2022b). Honey, I shrunk the irrelevant effects! Simple and Fast Shrinkage Using Approximate Bayesian Regularization. In preparation.
Vieira Generoso et al. (2022). Bayesian mixed-effect models for independent dynamic social network data.
Mulder et al. (2021). BFpack: Flexible Bayes Factor Testing of Scientific Theories in R. Journal of Statistical Software.
Arena et al. (2022a). A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks. Sociological Methods & Research.
Arena et al. (2022b). Understanding employee communication with longitudinal social network analysis of email flows. To appear in van de Heuvel, Liebregts, Arjan (Eds.). Data Science for Entrepreneurship.
Arena et al. (2022). How fast do we forget our past social interactions? Understanding memory retention with parametric decays in relational event models.
Lakdawala et al. (2022). Simulating Relational Event Histories – How and Why? Preprint
Lakdawala (2022). remulate. A R package for generating relational event history data.
Vieira Generoso et al. (2022). Fast Meta-Analytic Approximations for Relational Event Models: Applications to Large Networks, Data Streams and Multilevel Data. Preprint
Mulder & Hoff (2021). A Latent Variable Approach to Relational Events with Multiple Receivers.
Meijerink et al. (2022). Discovering explanatory mechanisms for the initiation and duration of social interactions: A relational event approach. Preprint
Upcoming papers
Meijerink-Bosman, M., Leenders, R., & Mulder, J. (2022) Modeling the speed and duration ofsocial interaction. Manuscript in preparation.
Meijerink-Bosman, M., Leenders, R., & Mulder, J. (2021) Dynamic relational event modeling: Testing, exploring, and applying. Manuscript in preparation.
Meijerink-Bosman, M., Back, M., Geukes, K., Leenders, R., & Mulder, J. (2021) Discovering trends of social interaction over time: An introduction to relational event modeling. Manuscript submitted for publication.
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