aggr_data

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

character in <code><a rd-options="" href="/link/strftime?package=NetOrigin&version=1.1-4" data-mini-rdoc="NetOrigin::strftime">strftime</a></code> format, e.g. <code>"2014-06-12 16:15"</code>, data is subsetted accordingly before aggregation

from

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

cumsum

convert individual event information to aggregated information per network node

Performs network-based source estimation. Different approaches are available: effective distance median (Manitz et al., 2014; <doi:10.1371/currents.outbreaks.f3fdeb08c5b9de7c09ed9cbcef5f01f2>), recursive backtracking (Manitz et al., 2016; <doi:10.1111/rssc.12176>), and centrality-based source estimation (Li et al., 2021; <doi:10.1371/journal.pcbi.1008545>). 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

character in <code><a rd-options='' href='strftime'>strftime</a></code> format, e.g. <code>"2014-06-12 16:15"</code>, data is subsetted accordingly before aggregation

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

Description

Usage

Arguments

Value

See Also