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<h1 id="firstHeading" class="firstHeading mw-first-heading"><span class="mw-page-title-main">NetworkX</span></h1>
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<div id="mw-content-text" class="mw-body-content mw-content-ltr" lang="de" dir="ltr"><div class="mw-content-ltr mw-parser-output" lang="de" dir="ltr"><table class="float-right infobox toccolours toptextcells" style="border-spacing:5px; font-size:90%; text-align:left; width:21em;">
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<th colspan="2" class="hintergrundfarbe6" style="font-size:105%; text-align:center;">NetworkX
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<td colspan="2" class="notheme" style="text-align:center; background-color:#f8f9fa;"><span typeof="mw:File"></span>
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<th colspan="2" class="hintergrundfarbe5" style="font-size:105%; text-align:center;">Basisdaten
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<td><b><a href="Softwareentwickler" title="Softwareentwickler">Entwickler</a></b>
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<td>Community-Projekt
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<td><b>Aktuelle <a href="Version_(Software)" title="Version (Software)">Version</a></b>
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<td><span class="wikidata-content">3.6.1<sup id="cite_ref-_c927490b67e1681f_1-0" class="reference"><a href="#cite_note-_c927490b67e1681f-1"><span class="cite-bracket">[</span>1<span class="cite-bracket">]</span></a></sup></span> <br> (<span class="wikidata-content">8. Dezember 2025</span>)
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<td><b><a href="Betriebssystem" title="Betriebssystem">Betriebssystem</a></b>
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<td><a href="Plattformunabh%C3%A4ngigkeit" title="Plattformunabhängigkeit">Plattformunabhängig</a>
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<td><b><a href="Programmiersprache" title="Programmiersprache">Programmiersprache</a></b>
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<td><span class="wikidata-content"><a href="Python_(Programmiersprache)" title="Python (Programmiersprache)">Python</a><sup id="cite_ref-_b85d176fc6d539eb_2-0" class="reference"><a href="#cite_note-_b85d176fc6d539eb-2"><span class="cite-bracket">[</span>2<span class="cite-bracket">]</span></a></sup></span>
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<td><b>Kategorie</b>
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<td>Technical computing
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<td><b>Lizenz</b>
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<td><span class="wikidata-content"><a href="BSD-Lizenz" title="BSD-Lizenz">BSD-Lizenz</a><sup id="cite_ref-_b98bb808f7308225_3-0" class="reference"><a href="#cite_note-_b98bb808f7308225-3"><span class="cite-bracket">[</span>3<span class="cite-bracket">]</span></a></sup></span>
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<td class="hintergrundfarbe5" colspan="2" style="text-align:center;"><a rel="nofollow" class="external text" href="http://networkx.github.io/">networkx.github.io</a>
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<p><b>NetworkX</b> ist eine <a href="Freie_Software" title="Freie Software">freie</a> <a href="Python_(Programmiersprache)" title="Python (Programmiersprache)">Python</a>-<a href="Programmbibliothek" title="Programmbibliothek">Bibliothek</a> auf dem Gebiet der <a href="Graphentheorie" title="Graphentheorie">Graphentheorie</a> und <a href="Netzwerkforschung" title="Netzwerkforschung">Netzwerke</a>. Aufgrund der Verwendung einer reinen Python-Datenstruktur ist NetworkX ein recht effizientes, sehr <a href="Skalierbarkeit" title="Skalierbarkeit">skalierbares</a>, hochportables Framework für die Analyse von <a href="Soziale_Netzwerkanalyse" title="Soziale Netzwerkanalyse">sozialen</a> und anderen Netzwerken.<sup id="cite_ref-4" class="reference"><a href="#cite_note-4"><span class="cite-bracket">[</span>4<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-5" class="reference"><a href="#cite_note-5"><span class="cite-bracket">[</span>5<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-6" class="reference"><a href="#cite_note-6"><span class="cite-bracket">[</span>6<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-7" class="reference"><a href="#cite_note-7"><span class="cite-bracket">[</span>7<span class="cite-bracket">]</span></a></sup><sup id="cite_ref-8" class="reference"><a href="#cite_note-8"><span class="cite-bracket">[</span>8<span class="cite-bracket">]</span></a></sup>
</p>
<div class="mw-heading mw-heading2"><h2 id="Eigenschaften">Eigenschaften</h2></div>
<ul><li><a href="Klasse_(Objektorientierung)" title="Klasse (Objektorientierung)">Klassen</a> für <a href="Gerichteter_Graph" title="Gerichteter Graph">gerichtete</a> und <a href="Graph_(Graphentheorie)" title="Graph (Graphentheorie)">ungerichtete Graphen</a></li>
<li>Konvertierung von Graphen in und aus verschiedenen Formaten</li>
<li>Einlesen und Ausgeben von Graphen, z. B. als <a href="Adjazenzliste" title="Adjazenzliste">Adjazenzliste</a> oder im <a href="JavaScript_Object_Notation" class="mw-redirect" title="JavaScript Object Notation">JSON</a>-Format</li>
<li>Fähigkeit der auch inkrementellen Erzeugung von <a href="Zufallsgraph" title="Zufallsgraph">Zufallsgraphen</a> unterschiedlichster Ausprägung</li>
<li>Bereitstellung einer großen Anzahl von Algorithmen zum Finden bzw. Erkennen von z. B. <a href="Clique_(Graphentheorie)" title="Clique (Graphentheorie)">Cliquen</a>, <a href="Baum_(Graphentheorie)" title="Baum (Graphentheorie)">Bäumen</a>, <a href="Eulerkreisproblem" title="Eulerkreisproblem">Eulerkreisen</a>, <a href="K%C3%BCrzester_Pfad" title="Kürzester Pfad">kürzesten Pfaden</a>, <a href="Teilgraph" title="Teilgraph">Teilgraphen</a>, <a href="Spannbaum" title="Spannbaum">Spannbäumen</a>, <a href="Isomorphie_von_Graphen" title="Isomorphie von Graphen">Isomorphie</a></li>
<li>Erzeugung von Bildern mit Hilfe von <a href="Matplotlib" title="Matplotlib">Matplotlib</a> oder mit Hilfe der Auszeichnungssprache <a href="DOT_(Graphviz)" title="DOT (Graphviz)">DOT</a></li></ul>
<div class="mw-heading mw-heading2"><h2 id="Einzelnachweise">Einzelnachweise</h2></div>
<ol class="references">
<li id="cite_note-_c927490b67e1681f-1"><span class="mw-cite-backlink"><a href="#cite_ref-_c927490b67e1681f_1-0">↑</a></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://github.com/networkx/networkx/releases/tag/networkx-3.6.1"><cite style="font-style:italic"><span lang="en">Release 3.6.1</span></cite>.</a> 8. Dezember 2025 (abgerufen am 10. Dezember 2025).</span>
</li>
<li id="cite_note-_b85d176fc6d539eb-2"><span class="mw-cite-backlink"><a href="#cite_ref-_b85d176fc6d539eb_2-0">↑</a></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://www.openhub.net/p/networkx/analyses/latest/languages_summary"><cite style="font-style:italic"><span lang="en">The networkx Open Source Project on Open Hub: Languages Page</span></cite>.</a> In: <cite style="font-style:italic">Open Hub</cite>. (abgerufen am 19. Juli 2018).</span>
</li>
<li id="cite_note-_b98bb808f7308225-3"><span class="mw-cite-backlink"><a href="#cite_ref-_b98bb808f7308225_3-0">↑</a></span> <span class="reference-text"><a rel="nofollow" class="external text" href="https://www.openhub.net/p/networkx/licenses"><cite style="font-style:italic">www.openhub.net</cite>.</a> In: <cite style="font-style:italic">Open Hub</cite>. (abgerufen am 25. Januar 2021).</span>
</li>
<li id="cite_note-4"><span class="mw-cite-backlink"><a href="#cite_ref-4">↑</a></span> <span class="reference-text"><span class="cite"><a rel="nofollow" class="external text" href="http://conference.scipy.org/proceedings/SciPy2008/paper_2/"><i>Exploring Network Structure, Dynamics, and Function using NetworkX.</i></a> In: <i>Proceedings of the Python in Science Conference (SciPy).</i><span class="Abrufdatum"> Abgerufen am 26. Oktober 2018</span>.</span><span style="display: none;" class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2Fde.wikipedia.org%3ANetworkX&rft.title=Exploring+Network+Structure%2C+Dynamics%2C+and+Function+using+NetworkX&rft.description=Exploring+Network+Structure%2C+Dynamics%2C+and+Function+using+NetworkX&rft.identifier=http%3A%2F%2Fconference.scipy.org%2Fproceedings%2FSciPy2008%2Fpaper_2%2F"> </span></span>
</li>
<li id="cite_note-5"><span class="mw-cite-backlink"><a href="#cite_ref-5">↑</a></span> <span class="reference-text"><cite class="lang" lang="en" dir="auto" style="font-style:italic">Getting started with graph analysis in Python with pandas and networkx</cite>. In: <cite class="lang" lang="en" dir="auto" style="font-style:italic">Towards Data Science</cite>. 8. August 2018 (englisch, <a rel="nofollow" class="external text" href="https://towardsdatascience.com/getting-started-with-graph-analysis-in-python-with-pandas-and-networkx-5e2d2f82f18e">towardsdatascience.com</a> [abgerufen am 26. Oktober 2018]).<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rfr_id=info:sid/de.wikipedia.org:NetworkX&rft.atitle=Getting+started+with+graph+analysis+in+Python+with+pandas+and+networkx&rft.btitle=Towards+Data+Science&rft.date=2018-08-08&rft.genre=book" style="display:none"> </span></span>
</li>
<li id="cite_note-6"><span class="mw-cite-backlink"><a href="#cite_ref-6">↑</a></span> <span class="reference-text"><span class="cite"><a rel="nofollow" class="external text" href="https://web.archive.org/web/20181026143158/https://www.python-course.eu/networkx.php"><i>Graphs in Python: NetworkX.</i></a> In: <i>Python Advanced.</i> Archiviert vom <style data-mw-deduplicate="TemplateStyles:r250917974">
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</style><span class="dewiki-iconexternal"><a class="external text" href="https://redirecter.toolforge.org/?url=https%3A%2F%2Fwww.python-course.eu%2Fnetworkx.php">Original</a></span> (nicht mehr online verfügbar) am <span style="white-space:nowrap;">26. Oktober 2018</span><span>;</span><span class="Abrufdatum"> abgerufen am 26. Oktober 2018</span> (englisch).</span><span style="display: none;" class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2Fde.wikipedia.org%3ANetworkX&rft.title=Graphs+in+Python%3A+NetworkX&rft.description=Graphs+in+Python%3A+NetworkX&rft.identifier=https%3A%2F%2Fweb.archive.org%2Fweb%2F20181026143158%2Fhttps%3A%2F%2Fwww.python-course.eu%2Fnetworkx.php&rft.source=https://www.python-course.eu/networkx.php&rft.language=en"> </span></span>
</li>
<li id="cite_note-7"><span class="mw-cite-backlink"><a href="#cite_ref-7">↑</a></span> <span class="reference-text"><cite class="lang" lang="en" dir="auto" style="font-style:italic">Intro to Graph Optimization with NetworkX in Python</cite>. In: <cite class="lang" lang="en" dir="auto" style="font-style:italic">DataCamp Community</cite>. 12. September 2017 (englisch, <a rel="nofollow" class="external text" href="https://www.datacamp.com/community/tutorials/networkx-python-graph-tutorial">datacamp.com</a> [abgerufen am 26. Oktober 2018]).<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rfr_id=info:sid/de.wikipedia.org:NetworkX&rft.atitle=Intro+to+Graph+Optimization+with+NetworkX+in+Python&rft.btitle=DataCamp+Community&rft.date=2017-09-12&rft.genre=book" style="display:none"> </span></span>
</li>
<li id="cite_note-8"><span class="mw-cite-backlink"><a href="#cite_ref-8">↑</a></span> <span class="reference-text">Hiroki Sayama: <cite class="lang" lang="en" dir="auto" style="font-style:italic">Basics of Networks</cite>. In: <cite class="lang" lang="en" dir="auto" style="font-style:italic">Mathematics LibreTexts</cite>. 8. April 2018 (englisch, <a rel="nofollow" class="external text" href="https://math.libretexts.org/TextMaps/Applied_Mathematics/Book:_Introduction_to_the_Modeling_and_Analysis_of_Complex_Systems_%28Sayama%29/15:_Basics_of_Networks">libretexts.org</a> [abgerufen am 26. Oktober 2018]).<span class="Z3988" title="ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rfr_id=info:sid/de.wikipedia.org:NetworkX&rft.atitle=Basics+of+Networks&rft.au=Hiroki+Sayama&rft.btitle=Mathematics+LibreTexts&rft.date=2018-04-08&rft.genre=book" style="display:none"> </span></span>
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