Articles producció científicaEnginyeria Química

The Impact of Individual Biases on Consensus Formation

  • Datos identificativos

    Identificador:  imarina:9386999
    Autores:  Sales-Pardo, M; Diermeier, D; Amaral, LAN
    Resumen:
    Social groups of interacting agents display an ability to coordinate in the absence of a central authority, a phenomenon that has been recently amplified by the widespread availability of social networking technologies. Models of opinion formation in a population of agents have proven a very useful tool to investigate these phenomena that arise independently of the heterogeneities across individuals and can be used to identify the factors that determine whether widespread consensus on an initial small majority is reached. Recently, we introduced a model in which individual agents can have conservative and partisan biases. Numerical simulations for finite populations showed that while the inclusion of conservative agents in a population enhances the population's efficiency in reaching consensus on the initial majority opinion, even a small fraction of partisans leads the population to converge on the opinion initially held by a minority. To further understand the mechanisms leading to our previous numerical results, we investigate analytically the noise driven transition from a regime in which the population reaches a majority consensus (efficient), to a regime in which the population settles in deadlock (non-efficient). We show that the mean-field solution captures what we observe in model simulations. Populations of agents with no opinion bias show a continuous transition to a deadlock regime, while populations with an opinion bias, show a discontinuous transition between efficient and partisan regimes. Furthermore, the analytical solution reveals that populations with an increasing fraction of conservative agents are more robust against noise than a population of naive agents because in the efficient regime there are relatively more conservative than naive agents holding the majority opinion. In contrast, populations with partisan agents are less robust to noise with an increasing fraction of partisans, because in the efficient regime there are relatively more naive agents than partisan agents holding the majority opinion.
  • Otros:

    Enlace a la fuente original: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0058989
    Referencia de l'ítem segons les normes APA: Sales-Pardo, M; Diermeier, D; Amaral, LAN (2013). The Impact of Individual Biases on Consensus Formation. PLOS ONE, 8(5), e58989-. DOI: 10.1371/journal.pone.0058989
    Referencia al articulo segun fuente origial: PLOS ONE. 8 (5): e58989-
    DOI del artículo: 10.1371/journal.pone.0058989
    Año de publicación de la revista: 2013-05-28
    Entidad: Universitat Rovira i Virgili
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Fecha de alta del registro: 2026-05-09
    Autor/es de la URV: Sales Pardo, Marta
    Departamento: Enginyeria Química
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Tipo de publicación: Journal Publications
    Autor según el artículo: Sales-Pardo, M; Diermeier, D; Amaral, LAN
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Áreas temáticas: Sociology, Psychology, Multidisciplinary sciences, Multidisciplinary, Medicine (miscellaneous), Interdisciplinary research in the social sciences, Human geography and urban studies, History & philosophy of science, General medicine, General biochemistry,genetics and molecular biology, General agricultural and biological sciences, Environmental studies, Demography, Ciencias sociales, Ciencias humanas, Biology, Biodiversidade, Biochemistry, genetics and molecular biology (miscellaneous), Archaeology, Anthropology, Agricultural and biological sciences (miscellaneous), Administração, ciências contábeis e turismo, Administração pública e de empresas, ciências contábeis e turismo
    Direcció de correo del autor: marta.sales@urv.cat, marta.sales@urv.cat
  • Palabras clave:

    Public opinion
    Prejudice
    Models
    theoretical
    Model
    Mode
    Humans
    Dynamics
    Consensus
    Computer simulation
    Agricultural and Biological Sciences (Miscellaneous)
    Biochemistry
    Genetics and Molecular Biology (Miscellaneous)
    Biology
    Medicine (Miscellaneous)
    Multidisciplinary
    Multidisciplinary Sciences
    Sociology
    Psychology
    Interdisciplinary research in the social sciences
    Human geography and urban studies
    History & philosophy of science
    General medicine
    General biochemistry
    genetics and molecular biology
    General agricultural and biological sciences
    Environmental studies
    Demography
    Ciencias sociales
    Ciencias humanas
    Biodiversidade
    Archaeology
    Anthropology
    Administração
    ciências contábeis e turismo
    Administração pública e de empresas
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