The structure of the genetic programming collaboration network

  • Authors:
  • Marco Tomassini;Leslie Luthi;Mario Giacobini;William B. Langdon

  • Affiliations:
  • Information Systems Department, University of Lausanne, Lausanne, Switzerland;Information Systems Department, University of Lausanne, Lausanne, Switzerland;Information Systems Department, University of Lausanne, Lausanne, Switzerland;Department of Computer Science, University of Essex, Colchester, UK

  • Venue:
  • Genetic Programming and Evolvable Machines
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The genetic programming bibliography aims to be the most complete reference of papers on genetic programming. In addition to locating publications, it contains coauthor and coeditor relationships which have not previously been studied. These reveal some similarities and differences between our field and collaborative social networks in other scientific fields.