A thrackle is a graph drawn in the plane so that every pair of its edges meet exactly once: either at a common end vertex or in a proper crossing. We prove that any thrackle of n vertices has at most 1.3984n edges. Qu...
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Partial edge drawing (PED) is a drawing style for non-planar graphs, in which edges are drawn only partially as pairs of opposing stubs on the respective end-vertices. In a PED, by erasing the central parts of edges, ...
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ISBN:
(纸本)9783030358020;9783030358013
Partial edge drawing (PED) is a drawing style for non-planar graphs, in which edges are drawn only partially as pairs of opposing stubs on the respective end-vertices. In a PED, by erasing the central parts of edges, all edge crossings and the resulting visual clutter are hidden in the undrawn parts of the edges. In symmetric partial edge drawings (SPEDs), the two stubs of each edge are required to have the same length. It is known that maximizing the ink (or the total stub length) when transforming a straight-line graphdrawing with crossings into a SPED is tractable for 2-plane input drawings, but NP-hard for unrestricted inputs. We show that the problem remains NP-hard even for 3-plane input drawings and establish NP-hardness of ink maximization for PEDs of 4-plane graphs. Yet, for k-plane input drawings whose edge intersection graph forms a collection of trees or, more generally, whose intersection graph has bounded treewidth, we present efficient algorithms for computing maximum-ink PEDs and SPEDs. We implemented the treewidth-based algorithms and show a brief experimental evaluation.
Visualizing network data is applicable in domains such as biology, engineering, and social sciences. We report the results of a study comparing the effectiveness of the two primary techniques for showing network data:...
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We show that any planar drawing of a forest of three stars whose vertices are constrained to be at fixed vertex locations may require Ω(n2/3) edges each having Ω (n1/3) bends in the worst case. the lower bound holds...
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Many real-world networks are globally sparse but locally dense. Typical examples are social networks, biological networks, and information networks. this double structural nature makes it difficult to adopt a homogene...
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ISBN:
(纸本)9783030358020;9783030358013
Many real-world networks are globally sparse but locally dense. Typical examples are social networks, biological networks, and information networks. this double structural nature makes it difficult to adopt a homogeneous visualization model that clearly conveys an overview of the network and the internal structure of its communities at the same time. As a consequence, the use of hybrid visualizations has been proposed. For instance, NodeTrix combines node-link and matrix-based representations (Henry et al., 2007). In this paper we describe ChordLink, a hybrid visualization model that embeds chord diagrams, used to represent dense subgraphs, into a node-link diagram, which shows the global network structure. the visualization is intuitive and makes it possible to interactively highlight the structure of a community while keeping the rest of the layout stable. We discuss the intriguing algorithmic challenges behind the ChordLink model, present a prototype system, and illustrate case studies on real-world networks.
Let T be an n-node tree of maximum degree 4, and let P be a set of n points in the plane with no two points on the same horizontal or vertical line. It is an open question whether T always has a planar drawing on P su...
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Storyline visualizations show the structure of a story, by depicting the interactions of the characters over time. Each character is represented by an x-monotone curve from left to right, and a meeting is represented ...
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We show how to test in linear time whether an outerplanar graph admits a planar rectilinear drawing, both if the graph has a prescribed plane embedding and if it does not. Our algorithm returns a planar rectilinear dr...
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A measure for the visual complexity of a straight-line crossing-free drawing of a graph is the minimum number of lines needed to cover all vertices. For a given graph G, the minimum such number (over all drawings in d...
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ISBN:
(纸本)9783030358020;9783030358013
A measure for the visual complexity of a straight-line crossing-free drawing of a graph is the minimum number of lines needed to cover all vertices. For a given graph G, the minimum such number (over all drawings in dimension d is an element of {2, 3}) is called the d-dimensional weak line cover number and denoted by pi(1)(d)(G). In 3D, the minimum number of planes needed to cover all vertices of G is denoted by pi(2)(3)(G). When edges are also required to be covered, the corresponding numbers rho(1)(d)(G) and rho(2)(3) (G) are called the (strong) line cover number and the (strong) plane cover number. Computing any of these cover numbers-except pi(1)(2)(G)-is known to be NP-hard. the complexity of computing pi(1)(2)(G) was posed as an open problem by Chaplick et al. [WADS 2017]. We show that it is NP-hard to decide, for a given planar graph G, whether pi(1)(2)(G) = 2. We further show that the universal stacked triangulation of depth d, G(d), has pi(1)(2)(G(d)) = d+ 1. Concerning 3D, we show that any n-vertex graph G with rho(2)(3)(G) = 2 has at most 5n - 19 edges, which is tight.
We introduce the family of k-gap-planar graphs for k ≥ 0, i.e., graphs that have a drawing in which each crossing is assigned to one of the two involved edges and each edge is assigned at most k of its crossings. thi...
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