Universidad Complutense de Madrid
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Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation

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Arroyo Menéndez, Millán y Hassan Collado, Samer y León, Carlos y Pavón Mestres, Juan Luis (2007) Agent based simulation framework for quantitative and qualitative social research: Statistics and natural language generation. ESSA, 7 . pp. 697-707. ISSN 978-2-9520326-7-4

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URL Oficial: http://essa2007.free.fr/



Resumen

Even though Agent Based Social Simulation is beginning to be spread out as a powerful quantitative method for sociologists, it is still far from attracting qualitative ones. We propose to broaden ABSS horizons with a system that returns outputs useful for both paradigms. The case used as example is the study of the evolution of religiosity in the Spanish post-modern society. From a “macro” perspective, it analyses social trends, using quantitative data from the European Values Survey and giving evolution statistics. From the “micro” one, it can generate a narrative personal story of a representative agent, much closer to the Interpretativism tools. Several methods for choosing the most representative agent are commented.


Tipo de documento:Artículo
Información Adicional:

ESSA’07: Fourth Conference of the European Social Simulation Association. September 10-14, 2007, Toulouse, France

Palabras clave:Abss, Mas, Natural language generation, Qualitative, Quantitative, Social research, Social simulation
Materias:Ciencias Sociales > Sociología
Ciencias Sociales > Sociología > Cambio social
Ciencias Sociales > Sociología > Estadísticas e indicadores sociales
Ciencias Sociales > Sociología > Investigación social
Código ID:36427
Depositado:31 Mar 2016 08:39
Última Modificación:31 Mar 2016 11:34

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