Articles producció científica> Enginyeria Informàtica i Matemàtiques

Quantifying the diaspora of knowledge in the last century

  • Dades identificatives

    Identificador: imarina:6389304
    Autors:
    De Domenico MOmodei EArenas A
    Resum:
    © 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.
  • Altres:

    Autor segons l'article: De Domenico M; Omodei E; Arenas A
    Departament: Enginyeria Informàtica i Matemàtiques
    Autor/s de la URV: Arenas Moreno, Alejandro / DE DOMENICO, MANLIO
    Paraules clau: Interconnected networks Human knowledge Diffusion Complex networks Big data human knowledge diffusion complex networks big data
    Resum: © 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.
    Àrees temàtiques: Multidisciplinary sciences Multidisciplinary Computer science, theory & methods Computer networks and communications Computational mathematics
    Accès a la llicència d'ús: https://creativecommons.org/licenses/by/3.0/es/
    Adreça de correu electrònic de l'autor: alexandre.arenas@urv.cat
    Identificador de l'autor: 0000-0003-0937-0334
    Data d'alta del registre: 2024-09-28
    Versió de l'article dipositat: info:eu-repo/semantics/publishedVersion
    Enllaç font original: https://appliednetsci.springeropen.com/articles/10.1007/s41109-016-0017-9
    Referència a l'article segons font original: Applied Network Science. 1 (1): 15-
    Referència 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 Document de llicència: https://repositori.urv.cat/ca/proteccio-de-dades/
    DOI de l'article: 10.1007/s41109-016-0017-9
    Entitat: Universitat Rovira i Virgili
    Any de publicació de la revista: 2016
    Tipus de publicació: Journal Publications
  • Paraules clau:

    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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