Record link: 
http://hdl.handle.net/20.500.12708/208688
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Title: 
GdMetriX - A NetworkX Extension For Graph Drawing Metrics
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Citation: 
Nöllenburg, M., Röder, S., & Wallinger, M. (2024). GdMetriX - A NetworkX Extension For Graph Drawing Metrics. In S. Felsner & K. Klein (Eds.), 32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) (pp. 1–3). Schloss Dagstuhl – Leibniz-Zentrum für Informatik. https://doi.org/10.4230/LIPIcs.GD.2024.45
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Publisher DOI: 
10.4230/LIPIcs.GD.2024.45
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Language: 
English
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Authors: 
Nöllenburg, Martin 
Röder, Sebastian 
Wallinger, Markus 
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Organisational Unit: 
E192-01 - Forschungsbereich Algorithms and Complexity 
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Published in: 
32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) 
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ISBN: 
978-3-95977-343-0
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Volume: 
320
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Date (published): 
28-Oct-2024
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Event name: 
32nd International Symposium on Graph Drawing and Network Visualization (GD 2024) 
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Event date: 
18-Sep-2024 - 20-Sep-2024
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Event place: 
Vienna, Austria
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Number of Pages: 
3
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Publisher: 
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
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Peer reviewed: 
Yes
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Keywords: 
Graph Drawing Metrics
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Abstract: 
networkX is a well-established Python library for network analysis. With gdMetriX, we aim to extend the functionality of networkX and provide common quality metrics used in the field of graph drawing, such as the number of crossings or the angular resolution. In addition, the package provides easy-to-use access to the graph datasets provided by the 'Graph Layout Benchmark Datasets' project from the Northeastern University Visualization Lab.
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Project title: 
Engineering Linear Ordering Algorithms for Optimizing Data Visualizations: ICT19-035 (WWTF Wiener Wissenschafts-, Forschu und Technologiefonds) 
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Research Areas: 
Logic and Computation: 100%
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Science Branch: 
1020 - Informatik: 80%
1010 - Mathematik: 20%
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Appears in Collections:
Conference Paper

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