Network data visualization

Walter Didimo, Giuseppe Liotta and Fabrizio Montecchiani

Chapter 1 in Handbook of Social Computing, 2024, pp 2-11 from Edward Elgar Publishing

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.

Keywords: Business and Management; Innovations and Technology; Sociology and Social Policy (search for similar items in EconPapers)
Date: 2024
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