The dynamic HomeFinder: evaluating dynamic queries in a real-estate information exploration system
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Graph drawing by force-directed placement
Software—Practice & Experience
Dynamic queries for information exploration: an implementation and evaluation
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Drawing graphs nicely using simulated annealing
ACM Transactions on Graphics (TOG)
Inventing Discovery Tools: Combining Information Visualization with Data Mining
DS '01 Proceedings of the 4th International Conference on Discovery Science
Graph Drawing by High-Dimensional Embedding
GD '02 Revised Papers from the 10th International Symposium on Graph Drawing
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Toward Measuring Visualization Insight
IEEE Computer Graphics and Applications
Proceedings of the 2006 AVI workshop on BEyond time and errors: novel evaluation methods for information visualization
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
Finding community structure in mega-scale social networks: [extended abstract]
Proceedings of the 16th international conference on World Wide Web
Systematic yet flexible discovery: guiding domain experts through exploratory data analysis
Proceedings of the 13th international conference on Intelligent user interfaces
IEEE Computer Graphics and Applications
Drawing graphs with non-uniform vertices
Proceedings of the Working Conference on Advanced Visual Interfaces
Analyzing (social media) networks with NodeXL
Proceedings of the fourth international conference on Communities and technologies
First Steps to Netviz Nirvana: Evaluating Social Network Analysis with NodeXL
CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
Analyzing Social Media Networks with NodeXL: Insights from a Connected World
An experimental comparison of fast algorithms for drawing general large graphs
GD'05 Proceedings of the 13th international conference on Graph Drawing
Layout effects on sociogram perception
GD'05 Proceedings of the 13th international conference on Graph Drawing
Edge routing with ordered bundles
GD'11 Proceedings of the 19th international conference on Graph Drawing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Empirical Studies in Information Visualization: Seven Scenarios
IEEE Transactions on Visualization and Computer Graphics
Journal of the American Society for Information Science and Technology
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The growing importance of network analysis has increased attention on interactive exploration to derive insights and support personal, business, legal, scientific, or national security decisions. Since networks are often complex and cluttered, strategies for effective filtering, clustering, grouping, and simplification are helpful in finding key nodes and links, surprising clusters, important groups, or meaningful patterns. We describe readability metrics and strategies that have been implemented in NodeXL, our free and open source network analysis tool, and show examples from our research. While filtering, clustering, and grouping have been used in many tools, we present several advances on these techniques. We also discuss our recent work on motif simplification, in which common patterns are replaced with compact and meaningful glyphs, thereby improving readability.