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Network Visualization

In: Network Science

Author

Listed:
  • Ulrik Brandes

    (ETH Zurich, Department of Humanities, Social and Political Sciences)

  • Michael Sedlmair

    (University of Stuttgart, Department of Computer Science)

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.

Suggested Citation

  • Ulrik Brandes & Michael Sedlmair, 2019. "Network Visualization," Springer Books, in: Francesca Biagini & Göran Kauermann & Thilo Meyer-Brandis (ed.), Network Science, chapter 0, pages 5-21, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-26814-5_2
    DOI: 10.1007/978-3-030-26814-5_2
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