By Rudolf Fleischer, Colin Hirsch (auth.), Michael Kaufmann, Dorothea Wagner (eds.)

Graph drawing contains all elements of visualizing structural family among items. the variety of themes handled extends from graph thought, graph algorithms, geometry, and topology to visible languages, visible conception, and data visualization, and to computer-human interplay and snap shots layout. This monograph offers a scientific evaluate of graph drawing and introduces the reader lightly to the cutting-edge within the sector. The presentation concentrates on algorithmic points, with an emphasis on attention-grabbing visualization issues of dependent options. a lot recognition is paid to a uniform form of writing and presentation, constant terminology, and complementary assurance of the proper concerns through the 10 chapters.

This instructional is very best as an advent for rookies to graph drawing. Ambitioned practitioners and researchers lively within the quarter will locate it a necessary resource of reference and information.

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**Additional info for Drawing Graphs: Methods and Models**

**Example text**

4 gives an overview of methods to do so. Most drawing algorithms presented in this chapter require a 2-connected planar graph as input. If a planar graph does not have this property, we can add edges to make it 2-connected and planar. 5 describes ways to accomplish this. The following sections describe drawing algorithms for planar graphs. 7 gives an overview of some algorithms that use a special ordering of the vertices of a graph called a canonical ordering. 2 What Is a Planar Graph? To deﬁne what we mean by the term planar graph we ﬁrst have to deﬁne what is meant by the term planar representation.

Two more commonly used ways of transforming a non-planar graph into a planar graph are the insertion of new vertices and the deletion of edges. 1 Inserting Vertices Assume we have a non-planar graph G and a representation D of G with k crossings. Then we can transform G into a planar graph G in the following 30 Ren´e Weiskircher way: Let e = (u, v) and f = (x, y) be two edges that cross in D. Then we can add a new vertex vc to G, remove the edges e and f from G and insert the four new edges e1 = (u, vc ), e2 = (vc , v), f1 = (x, vc ) and f2 = (vc , y).

Hopcroft and Tarjan (1974) improved this result to linear running time. , 1967) and Booth and Lueker (1976). We will only give a short overview of the two linear time algorithms. 1 The Algorithm of Hopcroft and Tarjan This overview of the algorithm follows that of Mutzel (1994). In principle, the algorithm works as follows: Search for a cycle C whose removal disconnects the graph. Then check recursively whether the graphs that are constructed 26 Ren´e Weiskircher by merging the connected components of G − C and the cycle C are planar.