Academy Fellow

I originally received a BSc honours degree in mathematics before a first career in the Australian foreign service. I returned to academia through completion of a B.A. and PhD in mathematical psychology from the University of Melbourne. My PhD research won awards from the Psychometric Society and the American Psychological Association. My principal work in social networks has been methodological, focussing on the development of exponential random graph models, but I have many collaborations in applied network-based research: for instance, epidemiology, animal behavior, defence, organizational and environmental studies. I am a past winner of the Freeman Award from the International Network for Social Network Analysis (INSNA) and of the i2 award for the most highly cited paper in INSNA-related journals. My most recent book, Doing Social Network Research: Network-based Research Design for Social Scientists, appeared in 2015. I was awarded the 2016 Simmel Award from INSNA for lifetime achievement in social network research.

1. Robins, G. (2015). Doing social network research: Network-based research design for social scientists. Sage.
2. Lusher, D., Koskinen, J., & Robins, G. (2013). Exponential random graph models for social networks: Theory, methods and applications. Cambridge University Press.
3. Roll, D., & Robins, G. (2017). Minimum distance estimators of population size from snowball samples using conditional estimation and scaling of exponential random graph models. Computational Statistics and Data Analysis, 116, 32-48.
4. Zappa, P., & Robins, G. (2016). Organizational learning across multi-level networks. Social Networks, 44, 295-306.
5. Lubell, M., Robins, G., & Wang, P. (2014). Network structure and institutional complexity in an ecology of water management games. Ecology and Society, 19, 23.