An algorithm for drawing general undirected graphs
Information Processing Letters
Journal of the American Society for Information Science - Special issue on science and technology indicators
Journal of the American Society for Information Science and Technology
Information Visualization: Beyond the Horizon
Information Visualization: Beyond the Horizon
Journal of the American Society for Information Science and Technology
Information Theory and Network Coding
Information Theory and Network Coding
Journal of the American Society for Information Science and Technology
Mental Models, Visual Reasoning and Interaction in Information Visualization: A Top-down Perspective
IEEE Transactions on Visualization and Computer Graphics
Using global mapping to create more accurate document‐level maps of research fields
Journal of the American Society for Information Science and Technology
Atlas of Science: Visualizing What We Know
Atlas of Science: Visualizing What We Know
Turning the tables on citation analysis one more time: Principles for comparing sets of documents
Journal of the American Society for Information Science and Technology
Graph drawing by stress majorization
GD'04 Proceedings of the 12th international conference on Graph Drawing
Bibliometric perspectives on medical innovation using the medical subject Headings of PubMed
Journal of the American Society for Information Science and Technology
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The gap in statistics between multi-variate and time-series analysis can be bridged by using entropy statistics and recent developments in multi-dimensional scaling. For explaining the evolution of the sciences as non-linear dynamics, the configurations among variables can be important in addition to the statistics of individual variables and trend lines. Animations enable us to combine multiple perspectives (based on configurations of variables) and to visualize path-dependencies in terms of trajectories and regimes. Path-dependent transitions and systems formation can be tested using entropy statistics.