[R-pkgs] New package 'netdiffuseR: Network Analysis for Diffusion of Innovations'

[George Vega Yon]

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/