Visualization of Network Concepts: The Impact of Working Memory Capacity Differences

Bin Zhu () and Stephanie A. Watts ()
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Bin Zhu: Information Systems Department, School of Management, Boston University, Boston, Massachusetts 02215
Stephanie A. Watts: Information Systems Department, School of Management, Boston University, Boston, Massachusetts 02215

Information Systems Research, 2010, vol. 21, issue 2, 327-344

Abstract: As networks of all forms become ubiquitous, the network-based information they generate is increasingly being used in a wide variety of analysis tasks. In organizations, social network analysis techniques are being applied to a number of domains, particularly the understanding of knowledge stocks and flows. Because this information is generated from large data sets, computerized visualizations of it are very helpful for accomplishing these complex tasks. This paper presents a model for evaluating the effectiveness of network visualizations based on theories of cognitive fit, working memory capacity, and information load. The model was empirically tested in two experiments using two types of data visualizations from two different social networks. Results support the theoretical model, illustrating that variations in cognitive fit and working memory interact. Findings suggest that visualizations can enable superior outcomes when they are designed to support this interaction.

Keywords: information visualization; network visualization; social network analysis; working memory capacity; evaluation of information visualization systems (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (5)

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