statnet

License and attribution information

License for statnet

1. you agree to retain in statnet and any modifications to statnet the copyright, author attribution and URL information as provided at a http://statnetproject.org/attribution.
2. you agree that statnet and any modifications to statnet will, when used, display the attribution:

   Based on 'statnet' project software (http://statnetproject.org). For license and citation information see http://statnetproject.org/attribution

What does this mean?

If you are modifying statnet or adopting any source code from statnet for use in another application, you must ensure that the copyright and attributions mentioned in the license above appear in the code of your modified version or application. These attributions must also appear when the package is loaded (e.g., via "library" or "require").

License Information for the component packages (e.g., ergm)

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Statnet Development Team Members

	Martina Morris - PI	University of Washington - Martina Morris is a Professor of Sociology and Statistics at the University of Washington. Over the past three years, she has worked on three longstanding research interests: the demographic epidemiology of HIV, trends in earnings inequality, and innovative statistical methodology for demographic research.
	Carter T. Butts	University of California, Irvine - Associate Professor, Sociology School of Social Sciences and Assistant 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.
	Mark S. Handcock	University of Washington - Mark S. Handcock is Professor of Statistics at the University of Washington. 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 social network data, spatial processes and demography.
	David R. Hunter	Penn State University - David Hunter is an Associate Professor in the Department of Statistics at Penn State University. 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.
	Pavel N. Krivitsky	University of Washington - Pavel N. Krivitsky is a doctoral student in the Department of Statistics at the University of Washington. His research area is on stochastic models for networks with focus on dynamic networks. He also works on latent space representations.