Computing NodeTrix Representations of Clustered Graphs
نویسندگان
چکیده
NodeTrix representations are a popular way to visualize clustered graphs; they represent clusters as adjacency matrices and intercluster edges as curves connecting the matrix boundaries. We study the complexity of constructing NodeTrix representations focusing on planarity testing problems, and we show several NP-completeness results and some polynomial-time algorithms. Building on such algorithms we develop a JavaScript library for NodeTrix representations aimed at reducing the crossings between edges incident to the same matrix.
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عنوان ژورنال:
- J. Graph Algorithms Appl.
دوره 22 شماره
صفحات -
تاریخ انتشار 2016