GVF - The Graph Visualization Framework. The Graph Visualization Framework is a set of design patterns and approaches that can serve as an example for applications that either manipulate graph structures or visualize them. The libraries implement several basic modules for input, graph management, property management, layout, and rendering. Some modules could be made to operate independently with some modification. For example, the graph management module can, in principle, be used as the data structure part of a program which doesn’t necessarily use visualization. An application called ”Royère” has been built using the GVF. Royère can be altered and extended to fit the needs of users. Some of the rationale for the design is described in a separate PDF document that has been published in Software: Practice & Experience

References in zbMATH (referenced in 18 articles , 1 standard article )

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  1. Krishna, Varun; Jose, Jintomon; Suri, N.N.R.Ranga: Design and development of a web-enabled data mining system employing JEE technologies (2014) ioport
  2. Tykesson, Johan; Calka, Pierre: Asymptotics of visibility in the hyperbolic plane (2013)
  3. Sahai, Tuhin; Speranzon, Alberto; Banaszuk, Andrzej: Hearing the clusters of a graph: A distributed algorithm (2012)
  4. Ábrego, Bernardo M.; Fabila-Monroy, Ruy; Fernández-Merchant, Silvia; Flores-Peñaloza, David; Hurtado, Ferran; Sacristán, Vera; Saumell, Maria: On crossing numbers of geometric proximity graphs (2011)
  5. Chen, Chen; Yan, Xifeng; Zhu, Feida; Han, Jiawei; Yu, Philip S.: Graph OLAP: a multi-dimensional framework for graph data analysis (2009) ioport
  6. Schneidewind, Norman F.: Analysis of object-oriented software reliability model development (2009) ioport
  7. Westenberg, Michel A.; van Hijum, Sacha A.F.T.; Lulko, Andrzej T.; Kuipers, Oscar P.; Roerdink, Jos B.T.M.: Interactive visualization of gene regulatory networks with associated gene expression time series data (2008)
  8. de Souza, Kleber Xavier Sampaio; Davis, Joseph; de Medeiros Evangelista, Silvio Roberto: Aligning ontologies, evaluating concept similarities and visualizing results (2006)
  9. Kuntz, Pascale; Pinaud, Bruno; Lehn, Rémi: Minimizing crossings in hierarchical digraphs with a hybridized genetic algorithm (2006)
  10. Wong, Kenny; Sun, Dabo: On evaluating the layout of UML diagrams for program comprehension. (2006) ioport
  11. Ceglar, Aaron; Roddick, John; Calder, Paul; Rainsford, Chris: Visualising hierarchical associations (2005) ioport
  12. Daida, Jason M.; Hilss, Adam M.; Ward, David J.; Long, Stephen L.: Visualizing tree structures in genetic programming (2005) ioport
  13. Carpineto, Claudio; Romano, Giovanni: Concept data analysis. Theory and applications. With a foreword by Peter Eklund (2004)
  14. Erten, Cesim; Harding, Philip J.; Kobourov, Stephen G.; Wampler, Kevin; Yee, Gary: GraphAEL: Graph animations with evolving layouts (2004)
  15. Koren, Yehuda; Carmel, Liran; Harel, David: Drawing huge graphs by algebraic multigrid optimization (2003)
  16. Marshall, M.S.; Herman, I.; Melançon, G.: An object-oriented design for graph visualization (2001)
  17. Schroeder, Michael; Gilbert, David; van Helden, Jacques; Noy, Penny: Approaches to visualization in bioinformatics: From dendrograms to space explorer (2001)
  18. Herman, Ivan; Melancon, Guy; Marshall, M.Scott: Graph Visualization and Navigation in Information Visualization: A Survey (2000) ioport