Graphics and managerial decision making: research-based guidelines
Communications of the ACM
Mental models in human-computer interaction: research issues about what the user of software knows
Mental models in human-computer interaction: research issues about what the user of software knows
Graph drawing by force-directed placement
Software—Practice & Experience
Strategic directions in human-computer interaction
ACM Computing Surveys (CSUR) - Special ACM 50th-anniversary issue: strategic directions in computing research
Visualizing the evolution of Web ecologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Readings in information visualization: using vision to think
Readings in information visualization: using vision to think
Information visualization: perception for design
Information visualization: perception for design
Information Systems Research
The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations
VL '96 Proceedings of the 1996 IEEE Symposium on Visual Languages
Interactive Visualization of Small World Graphs
INFOVIS '04 Proceedings of the IEEE Symposium on Information Visualization
Journal of the American Society for Information Science and Technology
MatrixExplorer: a Dual-Representation System to Explore Social Networks
IEEE Transactions on Visualization and Computer Graphics
Balancing Systematic and Flexible Exploration of Social Networks
IEEE Transactions on Visualization and Computer Graphics
The influence of information presentation formats on complex task decision-making performance
International Journal of Human-Computer Studies
Expertise visualization: an implementation and study based on cognitive fit theory
Decision Support Systems
Understanding Conceptual Schemas: Exploring the Role of Application and IS Domain Knowledge
Information Systems Research
Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training
Information Systems Research
Visualizing social network concepts
Decision Support Systems
Network sampling and classification: An investigation of network model representations
Decision Support Systems
Journal of Management Information Systems
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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.