netdiffuseR: Network Analysis for Diffusion of Innovations

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.

Version: 1.16.2
Depends: R (≥ 3.1.1)
Imports: Rcpp (≥ 0.12.1), sna, Matrix, SparseM, methods, grDevices, graphics, stats, utils, boot
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, ape, RSiena, igraph, survival
Published: 2016-02-18
Author: George Vega Yon [aut, cre] (Rewrite functions with Rcpp, plus new features), Stephanie Dyal [aut] (Package's first version), Tim Hayes [aut] (Package's first version), Thomas Valente [aut, cph] (R original code)
Maintainer: George Vega Yon <g.vegayon at>
License: MIT + file LICENSE
NeedsCompilation: yes
Classification/MSC: 90C35, 90B18, 91D30
Citation: netdiffuseR citation info
CRAN checks: netdiffuseR results


Reference manual: netdiffuseR.pdf
Vignettes: netdiffuseR showcase: Medical Innovations
Simulating diffusion networks: Using the 'rdiffnet' function
Time Discounted Infection and Susceptibility
Package source: netdiffuseR_1.16.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
OS X Snow Leopard binaries: r-release: not available, r-oldrel: not available
OS X Mavericks binaries: r-release: netdiffuseR_1.16.2.tgz