Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases

Graph Drawing E-print Archive
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    1225 research outputs found

    An Investigation of Algorithms to Aesthetically Draw Cayley Graphs

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    Graph visualisation is an important field in Computer Science. The visualisation of groups in the form of Cayley graphs has applications in the layout of interconnected networks and mathematics. By using theoretical results from group theory, we present two algorithms that take as input a Cayley graph (G,S)(G,S) and draws it in a layout that highlights the symmetry of the group and is easily readable

    Visualizing Internet Evolution on the Autonomous Systems Level

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    We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of representation in a single-level visualization rather than abstractions of lower levels of detail. This is useful for non-interactive display and eases dynamic layout, which we address in the online scenario. Our approach is illustrated on a family of large networks featuring all of the above structural characteristics, the physical Internet on the autonomous systems level over time

    Minimum Level Nonplanar Patterns for Trees

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    Minimum lvel nonplanar (MLNP) patterns play the role for level planar graphs that the forbidden Kuratowksi subdivisions K5K_5 and K3,3K_3,3 play for planar graphs. We add two MLNP patterns for trees to the previous set of tree patterns given by Healy etal.et al. [4]. Neither of these patterns match any of the previous patterns. We show that this new set of patterns completely characterizes level planar trees

    An Algorithm to Construct Greedy Drawings of Triangulations

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    We show an algorithm to construct greedy drawings of every given triangulation

    The Algorithmic Beauty of Digital Nature

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    In recent years the development of graphics hardware and efficient rendering algorithms enabled game developers to create large landscapes and render them at interactive rates. However, the shown scenes are still rough approximations that do not reach the complexity of real nature. To obtain sufficient simulations with a degree of realism that comes close to nature, a couple of problems have to be solved. In this extended abstract these challenges are roughly sketched, references are given for further readings

    The Number of Triangulations on Planar Point Sets

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    We give a brief account of results concerning the number of triangulations on finite point sets in the plane, both for arbitrary sets and for specific sets such as the n x n integer lattice

    Parameterized st-Orientations of Graphs: Algorithms and Experiments

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    st-orientations (st-numberings) or bipolar orientations of undirected graphs are central to many graph algorithms and applications. Several algorithms have been proposed in the past to compute an st-orientation of a biconnected graph. However, as indicated in [1], the computation of more than one st-orientation is very important for many applications in multiple research areas, such as this of Graph Drawing. In this paper we show how to compute such orientations with certain (parameterized) characteristics in the final st-oriented graph, such as the length of the longest path. Apart from Graph Drawing, this work applies in other areas such as Network Routing and in tackling difficult problems such as Graph Coloring and Longest Path. We present primary approaches to the problem of computing longest path parameterized st-orientations of graphs, an analytical presentation (together with proof of correctness) of a new O(mlog5n)O(m\log^5 n) (O(mlogn)O(m\log n) for planar graphs) time algorithm that computes such orientations (and which was used in [1]) and extensive computational results that reveal the robustness of the algorithm

    Choosing Colors for Geometric Graphs via Color Space Embeddings

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    Graph drawing research traditionally focuses on producing geometric embeddings of graphs satisfying various aesthetic constraints. After the geometric embedding is specified, there is an additional step that is often overlooked or ignored: assigning display colors to the graph's vertices. We study the additional aesthetic criterion of assigning distinct colors to vertices of a geometric graph so that the colors assigned to adjacent vertices are as different from one another as possible. We formulate this as a problem involving perceptual metrics in color space and we develop algorithms for solving this problem by embedding the graph in color space. We also present an application of this work to a distributed load-balancing visualization problem

    Controllable and Progressive Edge Clustering for Large Networks

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    Node-link diagrams are widely used in information visualization to show relationships among data. However, when the size of data becomes very large, node-link diagrams will become cluttered and visually confusing for users. In this paper, we propose a novel controllable edge clustering method based on Delaunay triangulation to reduce visual clutter for node-link diagrams. Our method uses curves instead of straight lines to represent links and these curves can be grouped together according to their relative positions and directions. We further introduce progressive edge clustering to achieve continuous level-of-details for large networks

    The Website for Graph Visualization Software References (GVSR)

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    Graph drawing software are now commonly used. However, the choice of a well-adapted program may be hard for an inexperienced user. This poster presents a website (http://www.polytech.univ-nantes.fr/GVSR/) built to help users choose a program adapted to their problems. So far, this site uniformely presents fifty programs and aims at helping users both in their choices and in comparing the programs

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