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Quantifying the diaspora of knowledge in the last century

  • Datos identificativos

    Identificador: imarina:6389304
    Autores:
    De Domenico MOmodei EArenas A
    Resumen:
    © 2016, The Author(s). Academic research is driven by several factors causing different disciplines to act as “sources” or “sinks” of knowledge. However, how the flow of authors’ research interests – a proxy of human knowledge – evolved across time is still poorly understood. Here, we build a comprehensive map of such flows across one century, revealing fundamental periods in the raise of interest in areas of human knowledge. We identify and quantify the most attractive topics over time, when a relatively significant number of researchers moved from their original area to another one, causing what we call a “diaspora of the knowledge” towards sinks of scientific interest, and we relate these points to crucial historical and political events. Noticeably, only a few areas – like Medicine, Physics or Chemistry – mainly act as sources of the diaspora, whereas areas like Material Science, Chemical Engineering, Neuroscience, Immunology and Microbiology or Environmental Science behave like sinks.
  • Otros:

    Autor según el artículo: De Domenico M; Omodei E; Arenas A
    Departamento: Enginyeria Informàtica i Matemàtiques
    Autor/es de la URV: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
    Palabras clave: Interconnected networks Human knowledge Diffusion Complex networks Big data human knowledge diffusion complex networks big data
    Resumen: © 2016, The Author(s). Academic research is driven by several factors causing different disciplines to act as “sources” or “sinks” of knowledge. However, how the flow of authors’ research interests – a proxy of human knowledge – evolved across time is still poorly understood. Here, we build a comprehensive map of such flows across one century, revealing fundamental periods in the raise of interest in areas of human knowledge. We identify and quantify the most attractive topics over time, when a relatively significant number of researchers moved from their original area to another one, causing what we call a “diaspora of the knowledge” towards sinks of scientific interest, and we relate these points to crucial historical and political events. Noticeably, only a few areas – like Medicine, Physics or Chemistry – mainly act as sources of the diaspora, whereas areas like Material Science, Chemical Engineering, Neuroscience, Immunology and Microbiology or Environmental Science behave like sinks.
    Áreas temáticas: Multidisciplinary sciences Multidisciplinary Computer science, theory & methods Computer networks and communications Computational mathematics
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: alexandre.arenas@urv.cat
    Identificador del autor: 0000-0003-0937-0334
    Fecha de alta del registro: 2024-09-28
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0017-9
    Referencia al articulo segun fuente origial: Applied Network Science. 1 (1): 15-
    Referencia de l'ítem segons les normes APA: De Domenico M; Omodei E; Arenas A (2016). Quantifying the diaspora of knowledge in the last century. Applied Network Science, 1(1), 15-. DOI: 10.1007/s41109-016-0017-9
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI del artículo: 10.1007/s41109-016-0017-9
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2016
    Tipo de publicación: Journal Publications
  • Palabras clave:

    Computational Mathematics,Computer Networks and Communications,Computer Science, Theory & Methods,Multidisciplinary,Multidisciplinary Sciences
    Interconnected networks
    Human knowledge
    Diffusion
    Complex networks
    Big data
    human knowledge
    diffusion
    complex networks
    big data
    Multidisciplinary sciences
    Multidisciplinary
    Computer science, theory & methods
    Computer networks and communications
    Computational mathematics
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