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 27 articles , 1 standard article )

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  1. Hammad, Muhammad; Basit, Hamid Abdul; Jarzabek, Stan; Koschke, Rainer: A systematic mapping study of clone visualization (2020)
  2. Barrera-Cruz, Fidel; Haxell, Penny; Lubiw, Anna: Morphing Schnyder drawings of planar triangulations (2019)
  3. Mezić, Igor; Fonoberov, Vladimir A.; Fonoberova, Maria; Sahai, Tuhin: Spectral complexity of directed graphs and application to structural decomposition (2019)
  4. Carrizosa, Emilio; Guerrero, Vanesa; Romero Morales, Dolores: On mathematical optimization for the visualization of frequencies and adjacencies as rectangular maps (2018)
  5. Carrizosa, Emilio; Guerrero, Vanesa; Morales, Dolores Romero: Visualizing proportions and dissimilarities by space-filling maps: a large neighborhood search approach (2017)
  6. Federico, Paolo; Miksch, Silvia: Evaluation of two interaction techniques for visualization of dynamic graphs (2016)
  7. Lim, Sungsu; Lee, Jae-Gil: Motif-based embedding for graph clustering (2016)
  8. Krishna, Varun; Jose, Jintomon; Suri, N. N. R. Ranga: Design and development of a web-enabled data mining system employing JEE technologies (2014) ioport
  9. Tykesson, Johan; Calka, Pierre: Asymptotics of visibility in the hyperbolic plane (2013)
  10. Sahai, Tuhin; Speranzon, Alberto; Banaszuk, Andrzej: Hearing the clusters of a graph: A distributed algorithm (2012)
  11. Salter-townshend, M.; White, A.; Gollini, I.; Murphy, T. B.: Review of statistical network analysis: models, algorithms, and software (2012)
  12. 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)
  13. Bartolini, Claudio: IT incident management as a collaborative process: A visualization tool inspired to social networks (2009)
  14. Chen, Chen; Yan, Xifeng; Zhu, Feida; Han, Jiawei; Yu, Philip S.: Graph OLAP: a multi-dimensional framework for graph data analysis (2009) ioport
  15. Schneidewind, Norman F.: Analysis of object-oriented software reliability model development (2009) ioport
  16. 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)
  17. de Souza, Kleber Xavier Sampaio; Davis, Joseph; de Medeiros Evangelista, Silvio Roberto: Aligning ontologies, evaluating concept similarities and visualizing results (2006)
  18. Kuntz, Pascale; Pinaud, Bruno; Lehn, Rémi: Minimizing crossings in hierarchical digraphs with a hybridized genetic algorithm (2006)
  19. Wong, Kenny; Sun, Dabo: On evaluating the layout of UML diagrams for program comprehension. (2006) ioport
  20. Ceglar, Aaron; Roddick, John; Calder, Paul; Rainsford, Chris: Visualising hierarchical associations (2005) ioport

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