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    <dc:date>2013-05-20T22:32:30Z</dc:date>
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    <title>On the existence and optimality of some planar graph embeddings</title>
    <link>http://hdl.handle.net/2307/650</link>
    <description>&lt;Title&gt;On the existence and optimality of some planar graph embeddings&lt;/Title&gt;
&lt;Authors&gt;Angelini, Patrizio&lt;/Authors&gt;
&lt;Issue Date&gt;2010-03-30&lt;/Issue Date&gt;
&lt;Abstract&gt;A graph is an abstract mathematical representation of a set of objects, called vertices, together&#xD;
with a pairwise relationship between such objects, that is represented by a collection of edges&#xD;
connecting pairs of vertices. Examples of relationships among objects that are representable by a&#xD;
graph can be found in every ﬁeld, ranging from interpersonal relationships to computer networks&#xD;
and from knowledge representation to bioinformatics. Of course, the best way to make such a&#xD;
relationship clearly understandable is to visualize the graph so that vertices and edges are easily&#xD;
recognizable at human eye. Such an issue is addressed in the research ﬁeld of Graph Drawing,&#xD;
which can be regarded as a cross between the areas of Graph Theory, Graph Algorithmic, and&#xD;
Computational Geometry.&#xD;
In Graph Drawing, the most common way to visualize a graph is to draw each vertex as a point&#xD;
in the plane and each edge as a curve connecting the corresponding points. The placement of the&#xD;
vertices in the plane and the drawing of the curves should be performed in such a way that the&#xD;
resulting drawing be nice and readable, in the sense that the information described by the graph&#xD;
should be possibly understandable at a glance. In order to obtain the desired nice and readable&#xD;
visualization, it is important to formalize the aesthetic criteria that distinguish a “good” drawing&#xD;
from a “bad” one. Then, the goal of Graph Drawing is to create algorithms that automatically&#xD;
produce drawings respecting such criteria.&#xD;
The most natural aesthetic criterion that one can think of is probably the absence of partial&#xD;
or complete overlapping among vertices and edges, that is called planarity. Another important&#xD;
criterion that one has to consider when drawing a graph is the area of the drawing, as a drawing&#xD;
with a small area can be better visualized inside a small screen. Observe that, while planarity is a&#xD;
property that a drawing may satisfy or not, the drawing area is a measure of quality that can be used&#xD;
to compare two drawings. Many other properties and quality measures can be deﬁned concerning&#xD;
the visualization of graphs, even with the possibility of combining some of them. However, the&#xD;
“best” drawing of a graph might not exist, since drawings that are “good” in terms of a certain&#xD;
criterium may be “bad” in terms of another.&#xD;
It is interesting to observe that some of the aesthetic criteria of a drawing of a graph only&#xD;
depend on its topological features, while other criteria also depend on the geometrical realization.&#xD;
For example, an important theorem in Graph Drawing, known as Fary’s Theorem, states that every&#xD;
graph admitting a planar drawing also admits a planar drawing in which edges are represented by&#xD;
straight-line segments. This implies that, in order to decide whether a given graph admits a planar&#xD;
drawing, it is possible to study whether such a graph admits a planar embedding, that is, a circular&#xD;
ordering of the edges around each vertex that determines no topological crossing in the induced&#xD;
drawing, rather than computing the actual coordinates of the points representing the vertices. On&#xD;
the other hand, given a graph with a ﬁxed embedding, diﬀerent geometrical realizations may lead&#xD;
to drawings with diﬀerent area.&#xD;
Several natural and interesting to study questions can be formulated concerning the aesthetic&#xD;
criteria deﬁned for the graphical representation of graphs.&#xD;
When considering a graph property, the ﬁrst, and probably most natural, arising question is&#xD;
the one about the existence of graphs satisfying such a property and of graphs not satisfying it. If&#xD;
both positive and negative instances exist, the problem can then be studied by either asking for&#xD;
a characterization of the family of graphs that satisfy the desired property, or by determining the&#xD;
computational complexity of the problem of deciding whether a given graph satisﬁes the property.&#xD;
On the other hand, when considering a particular measure of quality of a drawing or of an&#xD;
embedding, the two most natural questions are certainly the one asking for the optimal value of&#xD;
such a measure among all the graphs of a certain family and the one asking for an eﬃcient algorithm&#xD;
that optimizes such a measure for a given graph.&#xD;
In this thesis we address and partially answer such questions on several classes and types&#xD;
of graphs, as we propose algorithms for computing planar embeddings or drawings that satisfy&#xD;
certain properties or that are optimal with respect to certain measures of quality. We mainly&#xD;
deal with planar graphs and with graph properties and measures that depend on the topology&#xD;
of the graph (Part II) and on its geometry (Part III). Also, we consider the same questions on&#xD;
simultaneous graph drawing problems (Part IV), that is, problems involving more than one graph,&#xD;
and on clustered graphs (Part V), that is, graphs where the vertices are grouped into clusters by&#xD;
means of a hierarchical structure.&lt;/Abstract&gt;</description>
    <dc:date>2010-03-29T22:00:00Z</dc:date>
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