Tracing Structures in Networks to Capture its Organization

Karina Raya-Díaz, Carelia Gaxiola-Pacheco and Manuel Castañón-Puga
Additional contact information
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

International Journal of Applied Evolutionary Computation (IJAEC), 2015, vol. 6, issue 4, 1-13

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.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJAEC.2015100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:6:y:2015:i:4:p:1-13

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().