May 2, 2016; cw

Arlind Nocaj, Mark Ortmann, and Ulrik Brandes from the Algorithmics Group at the University of Konstanz received an “Honorable Mention” at the PacificVis 2016 in Taipeh (Taiwan). During this IEEE Pacific Visualization Symposium on Visualization, they presented their paper Adaptive Disentanglement based on Local Clustering in Small-World Network Visualization.

The best papers committee stated:
“This paper makes significant progress on one of the most central challenges that we face in network visualization: untangling hairball graphs. The authors propose using the clustering coefficient as an efficient proxy for underlying group structure, and automatically find an appropriate sparsification parameter to reveal it in their algorithm's drawings. Their careful validation is exemplary, with extensive computational benchmarks to show multiple metrics for both real-world datasets and synthetic data with known ground truth.”


Awarded paper: 
Arlind Nocaj, Mark Ortmann and Ulrik Brandes, Adaptive Disentanglement based on Local Clustering in Small-World Network VisualizationIEEE Transactions on Visualization and Computer Graphics, 2016.

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