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Per Block

Associate Member and former LCDS researcher

Per Block’s research area is the Sociology of Networks. This entails the analysis of interpersonal networks (excluding online networks) with a focus on structural patterns that represent the interdependence of different observations, as well as the development of new methodology and furthering our understanding of the current statistical network toolbox.


His current research combines the modelling of social networks and research on social  mobility.  The  aim  of  the  project  is  to  uncover  how  macro-level  mobility patterns are brought about through social relations, applying the novel statistical methodology. Aside these primary interest, Per actively collaborates across disciplinary boundaries to broadly further the understanding of network processes in science.


His work is published in leading journals in Sociology and Psychology, in specialised Methodology and Social Network journals, and in leading General Science journals.


Per Block joined the Leverhulme Centre and the department of Sociology in 2020 and is an Associate Member since 2022, following his departure to the University of Zurich. Previously he was a researcher, lecturer, and ETH fellow at the ETH Zurich (2014-2019). He holds a DPhil (2014) and MSc (2010) in Sociology from Oxford, and a Diploma (pre-Bologna combined BSc + MSc degree) in Chemistry (2008) from Marburg, with a specialisation in Nuclear Medicine.

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Full list here

Sharing the load: Contagion and tolerance of mood in social networks

Per Block, Stephanie Burnett Heyes


6 January 2021

Reply: A renewed call for detailed social and demographic COVID-19 data from all countries

Dowd, J.B., Andriano, L., Brazel D.M., Rotondi, V., Block, P., Ding, X., & Mills, M.C.

PNAS: Proceedings of the National Academy of Sciences, 117(25): 13884-13885.

22 June 2020

Social network-based distancing strategies to flatten the COVID-19 curve in a post-lockdown world

Block, P., Hoffman, M., Raabe, I.J., Dowd, J.B., Rahal, C., Kashyap, R., & Mills, M.C.

Nature Human Behaviour, 4: 588-596

3 June 2020

Demographic science aids in understanding the spread and fatality rates of COVID-19

Dowd, J. B., Andriano, L., Brazel, D. M., Rotondi, V., Block, P., Ding, X., Liu, Y., & Mills, M. C.

PNAS: Proceedings of the National Academy of Sciences,
117(18), 9696–9698

4 May 2020

A model for the dynamics of face-to-face interactions in social groups

Hoffman, M., Block, P., Elmer, T., & Stadtfeld, C.

Network Science

6 March 2020

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