fakesurvey

This data frame is used to ilustrate some of the functions of the package,
in particular, the <code>survey_to_diffnet</code> function. This dataset
can be merged with the <code>fakeEdgelist</code>.

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

Stephanie Dyal

Timothy Hayes

fakesurvey function

A data frame with 9 rows and 9 variables<dl>
 <dt>id</dt>
<dd>Unique id at group level</dd> <dt>toa</dt>
<dd>Time of adoption</dd> <dt>group</dt>
<dd>Group id</dd> <dt>net1</dt>
<dd>Network nomination 1</dd> <dt>net2</dt>
<dd>Network nomination 2</dd> <dt>net3</dt>
<dd>Network nomination 3</dd> <dt>age</dt>
<dd>Age of the respondent</dd> <dt>gender</dt>
<dd>Gende of the respondent</dd> <dt>note</dt>
<dd>Descroption of the respondent</dd>
</dl>

Format

Author

Fake survey data — fakesurvey

A data frame with 9 rows and 9 variables<dl>
 <dt>id</dt>
<dd>Unique id at group level</dd>

 <dt>toa</dt>
<dd>Time of adoption</dd>

 <dt>group</dt>
<dd>Group id</dd>

 <dt>net1</dt>
<dd>Network nomination 1</dd>

 <dt>net2</dt>
<dd>Network nomination 2</dd>

 <dt>net3</dt>
<dd>Network nomination 3</dd>

 <dt>age</dt>
<dd>Age of the respondent</dd>

 <dt>gender</dt>
<dd>Gende of the respondent</dd>

 <dt>note</dt>
<dd>Descroption of the respondent</dd>


</dl>

fakesurvey: Fake survey data

Description

Arguments

Format

Author

See Also