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Book: Computational Physics The materials on this page are taken from the book Computational Physics by M. Newman, an introduction to the field of computational physics using the Python programming language. If you're interested you can find information about the book here. The book itself is available from the usual booksellers or online here. The Python programming language is an excellent choic

Drug-disease networks and drug repurposing, Austin Polanco and M. E. J. Newman, submitted to PLOS Computational Biology. Mixture models for data with unknown distributions, M. E. J. Newman, submitted to Journal of the American Statistical Association. Fast sampling and model selection for Bayesian mixture models, M. E. J. Newman, submitted to Statistics and Computing. Computational music analysis

Mark Newman Anatol Rapoport Distinguished University Professor of Physics Department of Physics and Center for the Study of Complex Systems University of Michigan External Faculty Santa Fe Institute Our group conducts research on the structure and function of networks, particularly social and information networks, which we study using a combination of empirical methods, analysis, and computer simu

References: High school dating: Data drawn from Peter S. Bearman, James Moody, and Katherine Stovel, Chains of affection: The structure of adolescent romantic and sexual networks, American Journal of Sociology 110, 44-91 (2004). (The image, however, was made by myself and isn't published anywhere else except on this page.) Web site, physicist collaborations, Les Miserables: M. E. J. Newman and M.