This chapter presents some of the direct applications of the Tulip framework in research and bioinformatics. Then, it introduces different kinds of algorithms implemented in Tulip such as~: graph drawing, graph parameters and graph clustering. Subsequently, we will describe the general functioning of the Tulip data structure that enables the management of a graph hierarchy and the manipulation of algorithms; we will also give a short description of the Tulip software functioning. Finally, after giving several examples of graph drawing results obtained on real graphs, which come from the filesystems, the web site and the program analysis, we will conclude with general information about the terms of use of the framework.
CITATION STYLE
Auber, D. (2004). Tulip — A Huge Graph Visualization Framework (pp. 105–126). https://doi.org/10.1007/978-3-642-18638-7_5
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