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Swan: A data structure visualization system

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  • First Online: 01 January 2005
  • pp 520–523
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Graph Drawing (GD 1995)
Swan: A data structure visualization system
  • Jun Yang1,
  • Clifford A. Shaffer2 &
  • Lenwood S. Heath2 

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1027))

Included in the following conference series:

  • International Symposium on Graph Drawing
  • 503 Accesses

The authors gratefully acknowledge the support of the National Science Foundation under Grant CDA-9312611.

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References

  1. A. Bloesch, “Aesthetic Layout of Generalized Trees”, SOFTWARE—Practice and Experience, Vol. 23(8), August 1993, pp. 817–827.

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  2. P. Eades and K. Sugiyama, “How to Draw a Directed Graph”, Journal of Information Processing, Vol. 13, No. 4, 1990, pp. 424–437.

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  3. T. Kamada and S. Kawai, “An Algorithm for Drawing General Undirected Graphs”, Information Processing Letters, Vol. 31, April 1989, pp. 7–15.

    Article  MathSciNet  Google Scholar 

  4. G.-C. Roman and K.C. Cox, “A Taxonomy of Program Visualization Systems”, IEEE Computer, Vol. 26, No. 12, 1993, pp. 11–24.

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  5. R. Tamassia and I.G. Tollis, Eds., Graph Drawing'94, Lecture Notes in Computer Science 894, Springer, Berlin, 1994.

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Author information

Authors and Affiliations

  1. Hughes Network Systems, 11717 Exploration Lane, 20876, Germantown, MD

    Jun Yang

  2. Department of Computer Science, Virginia Tech, 24061, Blacksburg, VA

    Clifford A. Shaffer & Lenwood S. Heath

Authors
  1. Jun Yang
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  2. Clifford A. Shaffer
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  3. Lenwood S. Heath
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Editor information

Franz J. Brandenburg

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© 1996 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yang, J., Shaffer, C.A., Heath, L.S. (1996). Swan: A data structure visualization system. In: Brandenburg, F.J. (eds) Graph Drawing. GD 1995. Lecture Notes in Computer Science, vol 1027. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0021837

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  • .RIS
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  • DOI: https://doi.org/10.1007/BFb0021837

  • Published: 17 June 2005

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60723-6

  • Online ISBN: 978-3-540-49351-8

  • eBook Packages: Springer Book Archive

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