Search Results - and systems; G.2.2 [DISCRETE MATHEMATICS]: Graph Theory Graph algorithms

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  1. 1

    A Visualization Framework and User Studies for Overloaded Orthogonal Drawings by Didimo, Walter, Kornaropoulos, Evgenios M., Montecchiani, Fabrizio, Tollis, Ioannis G.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford Blackwell Publishing Ltd 01.02.2018
    Published in Computer graphics forum (01.02.2018)
    “… Besides the algorithm for acyclic digraphs, the DAGView framework implements extensions to visualize both digraphs with cycles and undirected graphs, with the additional possibility of taking…”
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    Journal Article
  2. 2

    Visual Analysis of Large Graphs: State-of-the-Art and Future Research Challenges by von Landesberger, T., Kuijper, A., Schreck, T., Kohlhammer, J., van Wijk, J.J., Fekete, J.-D., Fellner, D.W.

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.09.2011
    Published in Computer graphics forum (01.09.2011)
    “… How to design appropriate graph analysis systems depends on many factors, including the type of graph describing the data, the analytical task at hand and the applicability of graph analysis methods…”
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    Journal Article
  3. 3

    The Readability of Path-Preserving Clusterings of Graphs by Archambault, Daniel, Purchase, Helen C., Pinaud, Bruno

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.06.2010
    Published in Computer graphics forum (01.06.2010)
    “…Graph visualization systems often exploit opaque metanodes to reduce visual clutter and improve the readability of large graphs…”
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    Journal Article
  4. 4

    ImPrEd: An Improved Force-Directed Algorithm that Prevents Nodes from Crossing Edges by Simonetto, Paolo, Archambault, Daniel, Auber, David, Bourqui, Romain

    ISSN: 0167-7055, 1467-8659
    Published: Oxford, UK Blackwell Publishing Ltd 01.06.2011
    Published in Computer graphics forum (01.06.2011)
    “…PrEd [Ber00] is a force‐directed algorithm that improves the existing layout of a graph while preserving its edge crossing properties…”
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    Journal Article
  5. 5

    Quasi-biclique edge concentration: A visual analytics method for biclustering by Onoue, Yosuke, Koyamada, Koji

    ISSN: 2165-8773
    Published: IEEE 01.04.2017
    Published in IEEE Pacific Visualization Symposium (01.04.2017)
    “… Biclustering finds bicliques contained in a bipartite graph. However, in real data, a biclique may lack several edges because of various reasons, such as errors…”
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    Conference Proceeding
  6. 6

    The mental map and memorability in dynamic graphs by Archambault, D., Purchase, H. C.

    ISBN: 1467308633, 9781467308632
    ISSN: 2165-8765
    Published: IEEE 01.02.2012
    Published in 2012 IEEE Pacific Visualization Symposium (01.02.2012)
    “…In dynamic graph drawing, preserving the mental map, or ensuring that the location of nodes do not change significantly as the information evolves over time is considered an important property by algorithm designers…”
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    Conference Proceeding
  7. 7

    Exploring agent-based simulations in political science using Aggregate Temporal Graphs by Crouser, R. Jordan, Freeman, Jeremy G., Winslow, Andrew, Chang, Remco

    ISSN: 2165-8765
    Published: IEEE 01.02.2013
    “… In this paper, we introduce the Aggregate Temporal Graph (ATG), a graph formulation that can be used to capture complex relationships between discrete simulation states in time…”
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    Conference Proceeding
  8. 8

    Finding a hamilton path through a family of intervals by Sridhar, M. A., Goyal, S.

    ISSN: 0020-7160, 1029-0265
    Published: Abingdon Gordon and Breach Science Publishers S.A 01.01.1994
    “…We develop an o(nx(n)) algorithm for computing a hamilton path in a family of n intervals, where x is an inverse of Ackerman's function…”
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    Journal Article
  9. 9

    Parallel algorithms for a multi-level network optimization problem by Cruz, F.R.B., Mateus†, G.R.

    ISSN: 1063-7192
    Published: Taylor & Francis Group 01.09.2003
    Published in Parallel algorithms and applications (01.09.2003)
    “…Multi-level network optimization (MLNO) problems arise in many contexts such as telecommunication, transportation, or electric power systems…”
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    Journal Article