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A Complex Network Approach to the Determination of Functional Groups in the Neural System of C. Elegans

  • Alex Arenas
  • Alberto Fernández
  • Sergio Gómez
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5151)

Abstract

The structure of real complex networks is often modular, with sets of nodes more connected between them than to the rest of the network. These communities are usually reflecting a topology-functionality interplay, whose discovery is basic for the understanding of the operation of the networks. Thus, much attention has been driven to the determination of the modular structure of complex networks. Recently it has been shown that this modular organization appears at several scales of description, which may be found by a synchronization process on top of these networks. Here we make use of it for a tentative uncovering of functional groups in the neural system of the nematode C. elegans.

Keywords

Complex Network Neuronal Network Community Detection Laplacian Matrix Synchronization Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alex Arenas
    • 1
  • Alberto Fernández
    • 1
  • Sergio Gómez
    • 1
  1. 1.Departament d’Enginyeria Informàtica i MatemàtiquesUniversitat Rovira i VirgiliTarragonaSpain

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