medInnovationsDiffNet

A directed dynamic graph with 125 vertices and 18 time periods. The attributes
in the graph are static and described in <code><a href="/link/medInnovations?package=netdiffuseR&version=1.16.2" rd-options="" data-mini-rdoc="netdiffuseR::medInnovations">medInnovations</a></code>.

datasets

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.

George Vega Yon

netdiffuseR

Network Analysis for Diffusion of Innovations

medInnovationsDiffNet function

A <code><a href="/link/diffnet?package=netdiffuseR&version=1.16.2" rd-options="" data-mini-rdoc="netdiffuseR::diffnet">diffnet</a></code> class object.

medInnovationsDiffNet: `diffnet` version of the Medical Innovation data

Description

Usage

Arguments

format

See Also