Dr Pavel Krivitsky delivered a plenary talk last week at the Networks 2021 Conference.
The conference, hosted virtually from 5-10 July, was the first combined meeting of the International Network for Social Network Analysis and the Network Science Society.
Dr Krivitsky's plenary talk was associated with his International Network for Social Network Analysis (INSNA) Freeman Award, which he was conferred in 2019. Awarded annually, the Freeman Award is presented to a distinguished scholar in the field of social networks for significant contributions to the scientific study of social structure.
His plenary talk, Graphs, Networks, Big Data, Big Models, was delivered online on Friday 9 July. The meeting was hosted by the Indiana University Network Science Institute.
Dr Krivitsky discussed the importance of collecting and taking into account individual attributes and context - and not just the "graph" data - as well as some issues that arise with "big" network data: extended in time, in measurements, in sampling, and in size.
Dr Krivitsky is a Senior Lecturer in the School of Mathematics and Statistics. He joined us in 2019 from the University of Wollongong where he was a Lecturer in Statistics. Prior to that, he held Visiting Research Scientist appointments in the US and Portugal, and was a Research Associate at Pennsylvania State University's Department of Statistics.
Also in 2019, he and a team comprising Martina Morris, Mark Handcock, Carter Butts, David Hunter, Steve Goodreau and Skye Bender-deMoll won the William D. Richards, Jr. Software Award. This award honours individuals who have created publicly available social network analysis software without which it would be impossible to study social networks.