Cologne Excellence Cluster on Cellular Stress Responses in Aging Associated Diseases

Graph Drawing E-print Archive
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    1225 research outputs found

    Eigensolver Methods for Progressive Multidimensional Scaling of Large Data

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    We present a novel sampling-based approximation technique for classical multidimensional scaling that yields an extremely fast layout algorithm suitable even for very large graphs. It produces layouts that compare favorably with other methods for drawing large graphs, and it is among the fastest methods available. In addition, our approach allows for progressive computation, i.e. a rough approximation of the layout can be produced even faster, and then be refined until satisfaction

    On the Decay of Crossing Numbers

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    The crossing number \cn(G) of a graph G is the minimum number of crossings over all drawings of G in the plane. In 1993, Richter and Thomassen [13] conjectured that there is a constant c such that every graph G with crossing number k has an edge e such that \cn(G-e) \geq k-c\sqrt{k}. They showed only that G always has an edge e with \cn(G-e) \geq \frac{2}{5}\cn(G)-O(1). We prove that for every fixed \epsilon>0, there is a constant n_0 depending on \epsilon such that if G is a graph with n>n_0 vertices and m>n^{1+\epsilon} edges, then G has a subgraph G' with at most (1-\frac{1}{24\epsilon})m edges such that \cn(G') \geq (\frac{1}{28}-o(1))\cn(G)

    On the Crossing Number of Almost Planar Graphs

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    Crossing minimization is one of the most challenging algorithmic problems in topological graph theory, with strong ties to graph drawing applications. Despite a long history of intensive research, no practical "good" algorithm for crossing minimization is known (that is hardly surprising, since the problem itself is NP-complete). Even more surprising is how little we know about a seemingly simple particular problem: to minimize the number of crossings in an almost planar graph, that is, a graph with an edge whose removal leaves a planar graph. This problem is in turn a building block in an "edge insertion" heuristic for crossing minimization. In this paper we prove a constant factor approximation algorithm for the crossing number of almost planar graphs with bounded degree. On the other hand, we demonstrate nontriviality of the crossing minimization problem on almost planar graphs by exhibiting several examples, among them new families of crossing critical graphs which are almost planar and projective

    Drawing cubic graphs with at most five slopes

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    We show that every graph G with maximum degree three has a straight-line drawing in the plane using edges of at most five different slopes. Moreover, if G is connected and has at least one vertex of degree less than three, then four directions suffice

    Thickness of Bar 1-Visibility Graphs

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    Bar k-visibility graphs are graphs admitting a representation in which the vertices correspond to horizontal line segments, called bars, and the edges correspond to vertical lines of sight which can traverse up to k bars. These graphs were introduced by Dean et al. [3] who conjectured that bar 1-visibility graphs have thickness at most 2. We construct a bar 1-visibility graph having thickness 3, disproving their conjecture. For a special case of bar 1-visibility graphs we present an algorithm partitioning the edges into two plane graphs, showing that for this class the thickness is indeed bounded by 2

    Radial Drawings of Graphs: Geometric Constraints and Trade-offs

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    This paper studies how to compute radial drawings of graphs by taking into account additional geometric constraints which correspond to typical aesthetic and semantic requirements for the visualization. The following requirements are considered: vertex centrality, edge crossings, curve complexity, and vertex radial distribution. Trade-offs among these requirements and efficient drawing algorithms are presented

    Drawing Bipartite Graphs on Two Curves

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    Let G be a bipartite graph, and let λe,λi\lambda_e,\lambda_i be two parallel convex curves; we study the question about whether G admits a planar straight line drawing such that the vertices of one partite set of G lie on λe\lambda_e and the vertices of the other partite set lie on λi\lambda_i. A characterization is presented that gives rise to linear time testing and drawing algorithms

    Improved circular layouts

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    Circular graph layout is a drawing scheme where all nodes are placed on the perimeter of a circle. An inherent issue with circular layouts is that the rigid restriction on node placement often gives rise to long edges and an overall dense drawing. We suggest here three independent, complementary techniques for lowering the density and improving the readability of circular layouts. First, a new algorithm is given for placing thenodes on the circle such that edge lengths are reduced. Second, we enhance the circular drawing style by allowing some of the edges to be routed around the exterior of the circle. This is accomplished with an algorithm for optimally selecting such a set of externally routed edges. The third technique reduces density by coupling groups of edges as bundled splines that share part of their route. Together, these techniques are able to reduce clutter, density and crossings compared with existing methods

    Fast Node Overlap Removal - Correction

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    Our recent paper [1] details an algorithm for removing overlap between rectangles, while attempting to displace the rectangles by as little as possible. The algorithm is primarily motivated by the node-overlap removal problem in graph drawing

    THE DULMAGE-MENDELSOHN PRECONDITIONING OF DECAY CHAINS

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    The uses of the Dulmage-Mendelsohn triangularization of a radioactive decay chain's bipartite graph in the rapid computation of its pseudospectra, its exponentiation, and the numerical solution of its Bateman system of depletion equations are briefly discussed

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