I work with statisticians, social scientists, and epidemiologists to develop powerful techniques for understanding and predicting social structure, and I develop flexible and user-friendly open-source software packages for network analysis as a part of the Statnet Project.

My work on methodology and software has won multiple awards and appeared in top journals in the discipline. My software packages are downloaded tens of thousands of times every month.

I am available to supervise at Honours, Master’s, and PhD levels on a variety of topics. Scholarships are available for exceptional candidates pursuing Research Master’s or PhD.

Awards

   2024 Mid-career Impact Award for Fundamental Research by UNSW Faculty of Science for contributions to methodology and software tooling for social network analysis

   2023 Discussion Paper in Applications and Case Studies section of the Journal of the American Statistical Association for A Tale of Two Datasets: Representativeness and Generalisability of Inference for Samples of Networks (with Pietro Coletti and Niel Hens)

   2019 Freeman Award by the International Network for Social Network Analysis for significant contributions to the scientific study of social structure by a young investigator

   2019 Richards Award by the International Network for Social Network Analysis for development of Statnet social network analysis software (with Martina Morris, Mark Handcock, David Hunter, Steven Goodreau, and Skye Bender-deMoll)

Supervision

PhD

  Yun Pan, Saman Forouzandeh, Victoria Leaverco

    Arya Karamivis, Alina Kuvelkarcom, Amir Alvandicom, Yue Maco

MSc

    Christopher Shawcom, Georgina Daviesco

Honours

    Christopher Gordon, Marco Diodati, Andrew Murphy, Rodrick Safi, Zachary Edelsteinjoint, Samuel Brown, Aidan Mison, Luke Mazurjoint


joint — joint supervisorco — co-supervisorcom — committee membervis — hosted visitor

avatar

Pavel N. Krivitsky

Network Statistician

How to say my name