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Network data visualization

In: Handbook of Social Computing

Author

Listed:
  • Walter Didimo
  • Giuseppe Liotta
  • Fabrizio Montecchiani

Abstract

Representing data in a meaningful, visual way that users can interpret and easily comprehend is a key requirement for many businesses and organizations. Information visualization tools support decision-makers in the process of navigating the data effectively to deliver value to the entire organization. Moreover, data sets arising from a variety of applications, such as social networks, exhibit a relational nature and can be conveniently modeled as graphs, possibly enriched with labels and properties on vertices and edges. In this context, network visualization is a key research area, which requires a broad range of skills to be successfully tackled. This chapter introduces and shortly surveys some fundamental paradigms and techniques to visualize networked data sets, with a particular focus on social networks.

Suggested Citation

  • Walter Didimo & Giuseppe Liotta & Fabrizio Montecchiani, 2024. "Network data visualization," Chapters, in: Peter A. Gloor & Francesca Grippa & Andrea Fronzetti Colladon & Aleksandra Przegalinska (ed.), Handbook of Social Computing, chapter 1, pages 2-11, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:21469_1
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