validation

Contains output from original netinf C++ implementation, executed on 
<code>cascades</code>. For testing purposes.

datasets

This is an R implementation of the netinf algorithm (Gomez Rodriguez, Leskovec, and Krause, 2010)<doi:10.1145/1835804.1835933>. Given a set of events that spread between a set of nodes the algorithm infers the most likely stable diffusion network that is underlying the diffusion process.

Fridolin Linder

NetworkInference

Inferring Latent Diffusion Networks

Bruce Desmarais

validation function

An object of class <code>data.frame</code> with 6 columns, containing:<dl>
 <dt>origin_node</dt>
<dd>Origin of diffusion edge.</dd> <dt>destination_node</dt>
<dd>Destination node of diffusion edge.</dd> <dt>volume</dt>
<dd>??</dd> <dt>marginal_gain</dt>
<dd>Marginal gain from edge.</dd> <dt>median_time_difference</dt>
<dd>Median time between events in origin and 
 destination</dd> <dt>mean_time_difference</dt>
<dd>Mean time between events in origin and 
 destination</dd>
</dl>

Format

Validation output from netinf source. — validation

An object of class <code>data.frame</code> with 6 columns, containing:<dl>
 <dt>origin_node</dt>
<dd>Origin of diffusion edge.</dd>

 <dt>destination_node</dt>
<dd>Destination node of diffusion edge.</dd>

 <dt>volume</dt>
<dd>??</dd>

 <dt>marginal_gain</dt>
<dd>Marginal gain from edge.</dd>

 <dt>median_time_difference</dt>
<dd>Median time between events in origin and 
 destination</dd>

 <dt>mean_time_difference</dt>
<dd>Mean time between events in origin and 
 destination</dd>


</dl>

validation: Validation output from netinf source.

Description

Usage

Arguments

Format