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arXiv · 1908.08151

Multi-level Graph Drawing using Infomap Clustering

Seok-Hee Hong·Peter Eades·Marnijati Torkel·Ziyang Wang·David Chae·Sungpack Hong·Daniel Langerenken·Hassan Chafi
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Abstract

Infomap clustering finds the community structures that minimize the expected description length of a random walk trajectory; algorithms for infomap clustering run fast in practice for large graphs. In this paper we leverage the effectiveness of Infomap clustering combined with the multi-level graph drawing paradigm. Experiments show that our new Infomap based multi-level algorithm produces good visualization of large and complex networks, with significant improvement in quality metrics.

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Seok-Hee Hong, Peter Eades, Marnijati Torkel, Ziyang Wang, David Chae, Sungpack Hong, Daniel Langerenken, Hassan Chafi. 2019-08-22. Multi-level Graph Drawing using Infomap Clustering. https://arxiv.org/abs/1908.08151

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