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Document
Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study

Authors: Alexandru Telea, Ozan Ersoy, Hessel Hoogendorp, and Dennie Reniers

Published in: Dagstuhl Seminar Proceedings, Volume 9211, Visualization and Monitoring of Network Traffic (2009)


Abstract
Visually investigating large network-like structures is a challenging task. Several approaches have been proposed in the past: node-link diagrams, adjacency matrices, and, more recently, hierarchical edge bundles. We present a recent experiment that compares the effectiveness of the classical node-link diagrams with the more recent hierarchical bundled edges. The users involved several computer science practitioners, the data ranged from graphs of several hundreds to several tens of hundreds of nodes, the tasks involved answering a number of structural overview as well as detailed questions involved system dependencies.

Cite as

Alexandru Telea, Ozan Ersoy, Hessel Hoogendorp, and Dennie Reniers. Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study. In Visualization and Monitoring of Network Traffic. Dagstuhl Seminar Proceedings, Volume 9211, pp. 1-12, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{telea_et_al:DagSemProc.09211.4,
  author =	{Telea, Alexandru and Ersoy, Ozan and Hoogendorp, Hessel and Reniers, Dennie},
  title =	{{Comparison of Node-Link and Hierarchical Edge Bundling Layouts: A User Study}},
  booktitle =	{Visualization and Monitoring of Network Traffic},
  pages =	{1--12},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9211},
  editor =	{Daniel A. Keim and Aiko Pras and J\"{u}rgen Sch\"{o}nw\"{a}lder and Pak Chung Wong},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagSemProc.09211.4},
  URN =		{urn:nbn:de:0030-drops-21542},
  doi =		{10.4230/DagSemProc.09211.4},
  annote =	{Keywords: Graph visualization, user studies, software visualization, call graphs}
}
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