prof. dr. Roger Leenders

Bio

Specializing in social networks and social network analysis, Roger's research delves into how human interactions drive creativity and problem-solving within teams and organizations. He has dedicated over two decades to exploring (the organizational dynamics of) new product development. As another research interest, he studies the intricacies of social influence processes within social networks and has a broad interest in how social networks impact on group behaviors and outcomes.

Methodologically, Roger focuses on the statistical modeling of social networks, particularly their temporal evolution, employing both frequentist and Bayesian approaches. His main interest lies in relational event networks, where real-time interaction changes are examined. Additionally, he explores agent-based modeling of network dynamics.

Roger is a faculty member in both the Organization Studies department (TSB, Tilburg University) and the Jheronimus Academy of Data Science (Tilburg University & TU Eindhoven).

Courses

• RM: Organizations and Groups
• RM: Organizational Networks
• Statistics Bootcamp for DSBE
• Data Forensics
• Social Network Analysis for DS
• Research in Action

Recent publications

1. A Bayesian semi-parametric approach for modeling memory decay in dyna…

   Arena, G., Mulder, J., & Leenders, R. (2023). A Bayesian semi-parametric approach for modeling memory decay in dynamic social networks. Sociological Methods & Research. Advance online publication.

2. How fast do we forget our past social interactions? - Understanding m…

   Arena, G., Mulder, J., & Leenders, R. T. A. J. (2023). How fast do we forget our past social interactions? Understanding memory retention with parametric decays in relational event models. Network Science, 11(2), 267-294.

3. Bayesian analysis of higher-order network autocorrelation models

   Dittrich, D., Leenders, R., & Mulder, J. (Accepted/In press). Bayesian analysis of higher-order network autocorrelation models. Sociological Methodology.

4. Rivalries, reputation, retaliation, and repetition - Testing plausibl…

   Gravel, J., Valasik, M., Mulder, J., Leenders, R., Butts, C., Brantingham, P. J., & Tita, G. E. (2023). Rivalries, reputation, retaliation, and repetition: Testing plausible mechanisms for the contagion of violence between street gangs using relational event models. Network Science. Advance online publication.

5. A review of applications of the Bayes factor in psychological research

   Heck, D. W., Boehm, U., Böing-Messing, F., Bürkner, P., Derks, K., Dienes, Z., Fu, Q., Gu, X., Karimova, D., Kiers, H., Klugkist, I., Kuiper, R. M., Lee, M. D., Leenders, R., Leplaa, H. J., Linde, M., Ly, A., Meijerink, M., Moerbeek, M., ... Hoijtink, H. (2023). A review of applications of the Bayes factor in psychological research. Psychological Methods, 28(3), 558-579.