Computational Sociology

My work orbits the study of diversity, stratification, and innovation. It captures longitudinal systems of social and cultural exchange: from the gestation and birth of networks, careers, ideas, or innovations, to their use, up until their eventual cessation. As such, I strive for three interrelated goals: (i) answering substantive questions on causes and effects of social networks, while (ii) contributing to social theory, and (iii) using computational methods and big data. My research appeared (among others) in PNAS, American Sociological Review, Social Forces, Social Networks, and Nature Human Behaviour, and was honored with several grants and awards.


I am Assistant Professor at Radboud University's Department of Sociology. I got my PhD from Utrecht University's Department of Sociology and was Postdoctoral Research Fellow at Stanford University.


Bas Hofstra

Radboud University

Department of Sociology

Montessorilaan 3
6525 HR Nijmegen

E-mail: bas.hofstra [at]



August 21 - Radio interview with KPBS, a San Diego NPR station

September 1 - Presentation at Berkeley, Haas School of Business,

October 27 - Presentation at University of Copenhagen, Department of Sociology