statnet

statnet development team

About Us

The statnet develoment team is an collaborative interdisciplinary group of faculty from several universities. We have worked together since 2000 developing the software tools for statnet. Founding support was provided by the National Institutes of Health, through two grants: R01DA12831 and R01HD41877. That generous and continuing support made this project possible.

Martina Morris - PI

University of Washington - Martina Morris is a Professor of Sociology and Statistics at the University of Washington, and director of the Sociobehavioral and Prevention Research Core of the UW CFAR. Her research interests include the demographic epidemiology of HIV, trends in earnings inequality, and innovative statistical methodology for demographic research.

	Mark S. Handcock	University of Washington - Mark Handcock is Professor and Chair of the Department of Statistics. His research involves methodological development, and is based largely on motivation from questions in the social sciences. His work focuses on the development of statistical models for the analysis of network data, spatial processes and demography.
	David R. Hunter	Penn State University - David R. Hunter is an associate professor in the Department of Statistics. In addition to computational algorithms for networks, he works on mixture models with nonparametric component distributions and the theory and applications of MM (minorization-maximization) algorithms, a superset of the well- known class of EM algorithms.

	Carter T. Butts	University of California, Irvine - Carter T. Butts is an Associate Professor, Sociology School of Social Sciences and Associate Professor, Institute for Mathematical Behavioral Sciences Research Centers and Institutes. Interests include Mathematical Sociology, Social Networks, Quantitative Methodology, Human Judgment and Decision Making, Economic Sociology.
	Steven M. Goodreau	University of Washington - Steven M. Goodreau is an Assistant Professor in the Department of Anthropology. His research interests lie in understanding human infectious disease dynamics through the use of social network analysis, statistical demography, and population genetics.

skye bender-deMoll

at Large - skye bender-deMoll has research interests in the social transmission of information and culture in everyday life. His program SoNIA provides innovative tools for visualizing dynamic networks. His prototype packages, rSonia and dynamicnetwork, bring that facility to statnet.

James Moody

Duke University - James Moody is an Associate Professor of Sociology. His research interests are in social networks, social theory, and quantitative methodology.

Graduate students have made significant contributions to the programs over the years

Pavel Krivitsky

Statistics, University of Washington - Pavel wrote much of the latentnet packages, and is extending the dynamic network modeling facilities in statnet. He is also known as the rapper MCMC.

	Krista Gile	Statistics, University of Washington - Krista is extending the missing data facilities in statnet.
	Ryan Admiraal	Statistics, University of Washington - Ryan is extending facilities in statnet. for using egocentrically sampled data.

We have also benefitted from ongoing discussions with others in the Social Network modeling community. In particular we would like to thank:

	Tom Snijders	University of Groningen - Tom Snijders scientific research is carried out within the ICS (Interuniversity Center for Social Science Theory and Methodology), a research school that is a cooperative activity of the Universities of Groningen, Utrecht, and Nijmegen. His interests include multilevel analysis, social network analysis, mathematical sociology; item response theory; and social science statistics.
	Pip Pattison	University of Melbourne Social Networks Laboratory - Pip Pattison is a quantitative psychologist interested in the development of mathematical models for social and behavioural phenomena, particularly for social networks and network-based social processes. She is currently working on the development of dynamic network-based stochastic models for social processes, and on applications of these models to a diverse range of phenomena.
	Garry Robins	University of Melbourne Social Networks Laboratory - Garry Robins’ research focusses on the analysis of social networks, and in particular the development of exponential random graph models for social networks (p* models). General descriptions of social network analysis can be found on the INSNA website. Early papers describing exponential random graph models are Frank & Strauss (1986), Wasserman & Pattison (1996), Pattison & Wasserman (1999) and Robins, Pattison & Wasserman (1999).