Dear useRs, We are happy to announce that the R package 'netdiffuseR: Network Analysis for Diffusion of Innovations' is now on CRAN (https://cran.r-project.org/web/packages/netdiffuseR/). From the package's description:
"Empirical statistical analysis, visualization and simulation of network models of the diffusion of innovations. The package implements algorithms for calculating network diffusion statistics such as transmission rate, hazard rates, exposure models, network threshold levels, infectiousness (contagion), and susceptibility. The package is inspired by work published in Valente, et al., (2015) <DOI:10.1016/j.socscimed.2015.10.001>; Valente (1995) <ISBN:9781881303213>, Myers (2000) <DOI:10.1086/303110>, Iyengar and others (2011) <DOI:10.1287/mksc.1100.0566>, Burt (1987) <DOI:10.1086/228667>; among others." Some other relevant features: - Allows working with relative large graphs via sparse matrices (easily handles tenths of thousands vertices), and - Includes three classical network diffusion of innovations datasets: Brazilian Farmers, Korean Family Planning and Medical Innovation The package should be available to be installed via R's install.packages function in the following hours as CRAN builds binaries for Windows/OSX and mirrors have them available to be installed. For those of you who are interested on taking a deep look on this new tool, we will be offering a workshop at the 2016 SUNBELT Conference (http://insna.org/sunbelt2016/) , so we encourage you to sign in! Best, George G. Vega Yon +1 (626) 381 8171 http://www.its.caltech.edu/~gvegayon/ _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
