aggr_data

convert individual event information to aggregated information per network node

Performs network-based source estimation. Different approaches are available: effective distance median, recursive backtracking, and centrality-based source estimation. Additionally, we provide public transportation network data as well as methods for data preparation, source estimation performance analysis and visualization.

Juliane Manitz

NetOrigin

Origin Estimation for Propagation Processes on Complex Networks

Jonas Harbering

Jun Li

aggr_data function

<dl><dt>dat</dt>
<dd><code>data.frame</code> with variables <code>'node'</code>, <code>'time'</code>, <code>'delay'</code>, events data with single events with count magnitude</dd>
<dt>from</dt>
<dd>character in <code><a href="/link/strftime?package=NetOrigin&version=1.1-6" data-mini-rdoc="NetOrigin::strftime">strftime</a></code> format, e.g. <code>"2014-06-12 16:15"</code>, data is subsetted accordingly before aggregation</dd>
<dt>cumsum</dt>
<dd>logical indicating whether data is aggregated by cumulative sum, default is <code>TRUE</code></dd></dl>

Arguments

convert individual event information to aggregated information per network node — aggr_data

<dl>

<dt>dat</dt>
<dd><code>data.frame</code> with variables <code>'node'</code>, <code>'time'</code>, <code>'delay'</code>, events data with single events with count magnitude</dd>


<dt>from</dt>
<dd>character in <code><a href='https://rdrr.io/r/base/strptime.html'>strftime</a></code> format, e.g. <code>"2014-06-12 16:15"</code>, data is subsetted accordingly before aggregation</dd>


<dt>cumsum</dt>
<dd>logical indicating whether data is aggregated by cumulative sum, default is <code>TRUE</code></dd>

</dl>

aggr_data: convert individual event information to aggregated information per network node

Description

Usage

Value

Arguments

See Also