Network Visualization

Ulrik Brandes () and Michael Sedlmair ()
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Ulrik Brandes: ETH Zurich, Department of Humanities, Social and Political Sciences
Michael Sedlmair: University of Stuttgart, Department of Computer Science

Chapter Chapter 2 in Network Science, 2019, pp 5-21 from Springer

Abstract: Abstract Data visualization is the art and science of mapping data to graphical variables. In this context, networks give rise to unique difficulties because of inherent dependencies among their elements. We provide a high-level overview of the main challenges and common techniques to address them. They are illustrated with examples from two application domains, social networks and automotive engineering. The chapter concludes with opportunities for future work in network visualization.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-26814-5_2

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DOI: 10.1007/978-3-030-26814-5_2

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