An eigen analysis of the GP community

Authors:
W. B. Langdon;R. Poli;W. Banzhaf
Affiliations:
Departments of Biological and Mathematical Sciences, University of Essex, Colchester, UK;Department of Computing and Electronic Systems, University of Essex, Colchester, UK;Department of Computer Science, Memorial University of Newfoundland, St.John's, Canada
Venue:
Genetic Programming and Evolvable Machines
Year:
2008

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Abstract

The coauthorship and coeditorship relations as recorded in the genetic programming bibliography provide a quantitative view of the GP community. Eigen analysis is used to find the principle components of the community. It shows the major eigenvalues and eigenvectors are responsible for 70% of the connection graph. Top eigen authors are given.