Stratified Configuration Model for Simulating Networks
Gonçalves, Carlos Miguel Rêgo, Leandro Chaves
Gonçalves, Carlos Miguel
Rêgo, Leandro Chaves
Type
Artículo de publicación periódica
Abstract
"Conventional network generation models exhibit limitations in capturing complex structural patterns influenced by nodal and link attributes. While recent models have partially addressed this issue, significant gaps persist. This work introduces an adaptation of the Configuration Model that incorporates nodal attributes as crucial factors in determining network structure. We implemented a modification in the generation process to increase the clustering coefficient and propose two distinct algorithms: one for scenarios where the complete network topology is known and another for situations of incomplete network information. We demonstrate that our methodology can replicate network topology with edge losses below 12%, results in up to a tenfold increase in the clustering coefficient, and faithfully reproduces link distributions among different nodal categories".
Description
Date
2026-03-31
Journal Title
Journal ISSN
Volume Title
Publisher
Journal of Artificial Societies and Social Simulations
Collections
Research Projects
Organizational Units
Journal Issue
Keywords
COMPLEX NETWORKS, STRATIFIED NETWORKS, CONFIGURATION MODEL
Citation
Gonçalves, Carlos Miguel Moreira, Fierens, Pablo Ignacio and Rêgo, Leandro (2026) 'Stratified Configuration Model for Simulating Networks' Journal of Artificial Societies and Social Simulation 29 (2) 6 <http://jasss.soc.surrey.ac.uk/29/2/6.html>. doi: 10.18564/jasss.6026