ptn-data

ptnAth

ptnGoe

Public transportation network datasets from LinTim software (Integrated Optimization in Public Transportation)
<code>ptnAth</code> The data of the Athens Metro, consisting of 51 nodes and 52 edges.<ul>
<li>Vertex attributes: station name, additonal station info.</li>
<li>Edge attributes: track length (in meter), minimal and maximal time required to pass the track (in minutes).</li>
</ul><code>ptnGoe</code> The data of the Goettingen bus network, consisting of 257 nodes and 548 edges.<ul>
<li>Vertex attributes: station name.</li>
<li>Edge attributes: track length (in meter), minimal and maximal time required to pass the track (in minutes).</li>
</ul>

data

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

ptn-data function

Juliane Manitz and Jonas Harbering

Author

Public transportation network datasets from LinTim software (Integrated Optimization in Public Transportation)
<code>ptnAth</code> The data of the Athens Metro, consisting of 51 nodes and 52 edges.<ul>
<li>Vertex attributes: station name, additonal station info.</li>
<li>Edge attributes: track length (in meter), minimal and maximal time required to pass the track (in minutes).</li>
</ul>

<code>ptnGoe</code> The data of the Goettingen bus network, consisting of 257 nodes and 548 edges.<ul>
<li>Vertex attributes: station name.</li>
<li>Edge attributes: track length (in meter), minimal and maximal time required to pass the track (in minutes).</li>
</ul>

ptn-data: Public transportation network datasets from LinTim software (Integrated Optimization in Public Transportation)

Description

Arguments

Author

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Examples