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Tracing Structures in Networks to Capture its Organization

Author

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  • Karina Raya-Díaz

    (Autonomous University of Baja California, Tijuana, Mexico)

  • Carelia Gaxiola-Pacheco

    (Autonomous University of Baja California, Tijuana, Mexico)

  • Manuel Castañón-Puga

    (Autonomous University of Baja California, Tijuana, Mexico)

Abstract

This article analyzes the central nervous system as a dynamic complex system, focusing on the micro-interactions that allow neurons to become part of a network. The purpose of this analysis is to identify organizational levels generated in neural networks when a fault occurs and how topological structures are created during the information transmission, as in computer networks. The calculation of clustering coefficient was using as a method to observe the association of each node of the network. A dendrogram was created to reflect the changes in the interactions of the links of nodes.

Suggested Citation

  • Karina Raya-Díaz & Carelia Gaxiola-Pacheco & Manuel Castañón-Puga, 2015. "Tracing Structures in Networks to Capture its Organization," International Journal of Applied Evolutionary Computation (IJAEC), IGI Global, vol. 6(4), pages 1-13, October.
    • Handle: RePEc:igg:jaec00:v:6:y:2015:i:4:p:1-13
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