Haunert and Niedermann – AN ALGORITHMIC FRAMEWORK FOR LABELING NETWORK MAPS 2015

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This 24-page academic paper, “An Algorithmic Framework for Labeling Network Maps,” was published on arXiv (cs.CG) in May 2015 by Jan-Henrik Haunert (University of Osnabrück) and Benjamin Niedermann (Karlsruhe Institute of Technology). The document proposes a flexible and versatile algorithmic framework for automatically labeling network maps, specifically metro maps. It is highly visual, featuring 17 figures that illustrate concepts like candidate generation, algorithmic steps, and comparative experimental results on real-world metro systems of Sydney and Vienna. The paper includes a theoretical contribution (NP-completeness proof for single-line labeling), an efficient optimal algorithm for a restricted variant, and a sophisticated heuristic for multiple lines. Its detailed methodology, experimental validation against existing approaches, and academic authorship lend strong credibility, making it a valuable resource for researchers in computational cartography and graph visualization.

Additional information

Pages

24

Filesize

1.3Mb