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Social Insect Colonies as Complex Adaptive Systems

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  • Eric Bonabeau

Abstract

Self-organizing maps (SOM) are unsupervised, competitive neural networks used to project high-dimensional data onto a low-dimensial space. In this article we show how SOM can be sued to draw graphs in the plane. The SOM-based approach to graph drawing, which belongs to the general class of force-directed algorithms, allows the drawing of arbitrary weighted graphs. It is particularly efficient to draw large graphs and can be used as a preprocessing step before application of a more sophisticated method. To appear in: Ecosystems.

Suggested Citation

  • Eric Bonabeau, 1998. "Social Insect Colonies as Complex Adaptive Systems," Working Papers 98-07-067, Santa Fe Institute.
    • Handle: RePEc:wop:safiwp:98-07-067
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    Cited by:

    1. Ahjond S. Garmestani & Craig R. Allen & K. Michael Bessey, 2005. "Time-series Analysis of Clusters in City Size Distributions," Urban Studies, Urban Studies Journal Limited, vol. 42(9), pages 1507-1515, August.
    2. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.

    More about this item

    Keywords

    Social insects; self-organization; complex adaptive systems; template stigmergy; collective behavior;
    All these keywords.

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