Artículo
Analytical approach to the Axelrod model based on similarity vectors
Fecha de publicación:
01/2021
Editorial:
American Physical Society
Revista:
Physical Review E
ISSN:
2470-0045
e-ISSN:
2470-0053
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Complex problems of social interaction are usually studied within the framework of agent-based models. Some of these problems, such as issue alignment and opinion polarization, are better suited in the framework of n-dimensional opinion space. Although this kind of complex problem may be explored by numerical simulations, these simulations can hinder our ability to obtain general results. In this work, we show how, under certain conditions, a classical multidimensional opinion model such as the Axelrod model can give rise to a closed set of master equations in terms of vector similarities between agents. The analytical results fully agree with the simulations on complete networks, accurately predict the similarity distribution of the whole system in sparse topologies, and provide a good approximation of the similarity of physical links that improves when the mean degree of the system increases.
Palabras clave:
SOCIOPHYSICS
,
NON-LINEAR DYNAMICS
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(IFIBA)
Articulos de INST.DE FISICA DE BUENOS AIRES
Articulos de INST.DE FISICA DE BUENOS AIRES
Articulos(IMAS)
Articulos de INSTITUTO DE INVESTIGACIONES MATEMATICAS "LUIS A. SANTALO"
Articulos de INSTITUTO DE INVESTIGACIONES MATEMATICAS "LUIS A. SANTALO"
Citación
Pedraza, Lucía Inés; Pinto, Sebastián; Pinasco, Juan Pablo; Balenzuela, Pablo; Analytical approach to the Axelrod model based on similarity vectors; American Physical Society; Physical Review E; 103; 1; 1-2021; 1-13
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