medInnovationsDiffNet

<p>A directed dynamic graph with 125 vertices and 18 time periods. The attributes
in the graph are static and described in <code>medInnovations</code>.</p>

Empirical statistical analysis, visualization and simulation of
diffusion and contagion processes on networks. 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

Analysis of Diffusion and Contagion Processes on Networks

Thomas Valente

Anibal Olivera Morales

Stephanie Dyal

Timothy Hayes

medInnovationsDiffNet function

<p>A <code>diffnet</code> class object.</p>

Format

diffnet version of the Medical Innovation data — medInnovationsDiffNet

<code>diffnet</code> version of the Medical Innovation data

medInnovationsDiffNet: `diffnet` version of the Medical Innovation data

Description

Arguments

Format

See Also