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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. Multiple funding sources (listed below) have and continue to support this project.

Martina Morris 
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 California, Los Angeles  Mark Handcock is a professor in 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 (minorizationmaximization) 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 Associate 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 benderdeMoll 
at Large  Skye BenderdeMoll 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. 

Pavel Krivitsky 
Penn State University  Pavel is a Research Associate in the Department of Statistics. His research is primarily in modeling, analysis, and simulation of social networks. He wrote much of the latentnet packages, and is extending the dynamic network modeling facilities in statnet. He is also known as the rapper MCMC. 

Ayn LeslieCook 
University of Washington  Ayn is a first year graduate student and research assistant in the statistics department at UW. Her background is in mathematics and computer science. Ayn maintains the new networkDynamic package, which extends statnet facilities for storing and manipulating dynamic network data. 
Others who have made significant contributions to the programs over the years

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

Krista Gile 
University of Massachusetts  Amherst  Krista is an Assistant Professor in the Department of Mathematics and Statistics. Her research focuses on developing statistical methodology for social and behavioral science research, particularly related to making inference from partiallyobserved social network structures. Krista has extended the missing data facilities in statnet. 

Ryan Admiraal 
Murdoch University  Ryan is a lecturer in the School of Chemical and Mathematical Sciences. His research lies in the areas of social network analysis and categorical data analysis with research specifically being done on revealed preference models, twosided matching models, and loglinear models for mixing and degree distributions with applications to sexual partnership and fertility reports. Ryan has extended 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 networkbased social processes. She is currently working on the development of dynamic networkbased 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). 
Funding source that have generously supported this project:
 NIH R01 DA 12831 (PI Morris) Modeling HIV and STD in Drug User and Social Networks, NIDA.
 NIH R01 HD 41877 (PI Morris) Quantifying HIV Transmission Risk in Sex/Drug Networks NICHD.
 NIH R01 AI 083060 (PI Buchbinder) Prevention Umbrella for MSM in the Americas.
 NIH R01 DA 02211603 (PI Gorbach) Transmission Behavior in Partnerships of Newly HIV Infected Southern Californians.
 NIH R01 GM 083603 (PI Hunter) Novel Statistical Models for Synthesizing Social Networks and
Epidemic Dynamics
 ONR N000140811015 (PI Smyth) Scalable Methods for the Analysis
of NetworkBased Data
 NSF CMS0624257 (PI Mendonca) AOC: Improvisation in Emergency Response: Linking Cognition, Behavior and Social Interaction
 NSF BCS0827027 (PI Butts) DHB: Largescale Spatially Embedded Interpersonal Networks: Measurement, Modeling, and Dynamics.
 NSF OIA1028394 (PI Markopoulou) CDIType II: Topology and Function in Computer, Social and Biological Networks.
 Portuguese Foundation for Science and Technology Ciência 2009 Program

