Studying an evolving complex system and drawing some
conclusions from it is an integral part of
nature-inspired computing; being a part of that complex
system, some insight can also be gained from our
knowledge of it. In this paper we study the evolution
of the evolutionary computation co-authorship network
using social network analysis tools, with the aim of
extracting some conclusions on its mechanisms. In order
to do this, we first examine the evolution of
macroscopic properties of the EC co-authorship graph,
and then we look at its community structure and its
corresponding change along time. The EC network is
shown to be in a strongly expansive phase, exhibiting
distinctive growth patterns, both at the macroscopic
and the mesoscopic level.
%0 Journal Article
%1 Cotta:2007:GPEM
%A Cotta, Carlos
%A Merelo, Juan-Julian
%D 2007
%J Genetic Programming and Evolvable Machines
%K Complex Evolutionary Social algorithms, analysis computation, evolvable genetic hardware, network networks, programming,
%N 3
%P 239--253
%R doi:10.1007/s10710-007-9031-0
%T Where is evolutionary computation going? A temporal
analysis of the EC community
%V 8
%X Studying an evolving complex system and drawing some
conclusions from it is an integral part of
nature-inspired computing; being a part of that complex
system, some insight can also be gained from our
knowledge of it. In this paper we study the evolution
of the evolutionary computation co-authorship network
using social network analysis tools, with the aim of
extracting some conclusions on its mechanisms. In order
to do this, we first examine the evolution of
macroscopic properties of the EC co-authorship graph,
and then we look at its community structure and its
corresponding change along time. The EC network is
shown to be in a strongly expansive phase, exhibiting
distinctive growth patterns, both at the macroscopic
and the mesoscopic level.
@article{Cotta:2007:GPEM,
abstract = {Studying an evolving complex system and drawing some
conclusions from it is an integral part of
nature-inspired computing; being a part of that complex
system, some insight can also be gained from our
knowledge of it. In this paper we study the evolution
of the evolutionary computation co-authorship network
using social network analysis tools, with the aim of
extracting some conclusions on its mechanisms. In order
to do this, we first examine the evolution of
macroscopic properties of the EC co-authorship graph,
and then we look at its community structure and its
corresponding change along time. The EC network is
shown to be in a strongly expansive phase, exhibiting
distinctive growth patterns, both at the macroscopic
and the mesoscopic level.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Cotta, Carlos and Merelo, Juan-Julian},
biburl = {https://www.bibsonomy.org/bibtex/245ef4608243836752d231e4b051cd662/brazovayeye},
doi = {doi:10.1007/s10710-007-9031-0},
interhash = {15083f5f36558231b4532cc461aad5db},
intrahash = {45ef4608243836752d231e4b051cd662},
issn = {1389-2576},
journal = {Genetic Programming and Evolvable Machines},
keywords = {Complex Evolutionary Social algorithms, analysis computation, evolvable genetic hardware, network networks, programming,},
month = {September},
number = 3,
pages = {239--253},
size = {15 pages},
timestamp = {2008-06-19T17:38:12.000+0200},
title = {Where is evolutionary computation going? {A} temporal
analysis of the {EC} community},
volume = 8,
year = 2007
}