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Self-Organization Applied To Dynamic Network Layout

Author

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  • MARKUS M. GEIPEL

    (Chair of Systems Design, ETH Zurich, 8032 Zurich, Switzerland)

Abstract

As networks and their structure have become a major field of research, a strong demand for network visualization has emerged. We address this challenge by formalizing the well established spring layout in terms of dynamic equations. We thus open up the design space for new algorithms. Drawing from the knowledge of systems design, we derive a layout algorithm that remedies several drawbacks of the original spring layout. This new algorithm relies on the balancing of two antagonistic forces. We thus call itarffor "attractive and repulsive forces". It is, as we claim, particularly suited for a dynamic layout of smaller networks(n

Suggested Citation

  • Markus M. Geipel, 2007. "Self-Organization Applied To Dynamic Network Layout," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 18(10), pages 1537-1549.
    • Handle: RePEc:wsi:ijmpcx:v:18:y:2007:i:10:n:s0129183107011558
    DOI: 10.1142/S0129183107011558
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    Cited by:

    1. Patrick Groeber & Frank Schweitzer & Kerstin Press, 2009. "How Groups Can Foster Consensus: The Case of Local Cultures," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-4.

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