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Descripción
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| In this work we develop a model that detects potential development of scientific disciplines in universities. The model is based on the position of superimposed disciplines developed by universities on a historical knowledge network by complement. We have observed that in our case study (WoS publications of five Chilean universities during the period 2008-2015), the model achieved up to 78% on the prognostic of total scientific disciplines that a university has developed, so it is offered as a valid tool to guide universities to the development of another areas of knowledge. | |
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Internacional
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Si |
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Nombre congreso
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The 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018) [http://asonam.cpsc.ucalgary.ca/2018/] |
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Tipo de participación
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960 |
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Lugar del congreso
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Barcelona (Spain) |
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Revisores
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Si |
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ISBN o ISSN
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978-1-5386-6051-5 |
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DOI
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10.1109/ASONAM.2018.8508271 |
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Fecha inicio congreso
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28/08/2018 |
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Fecha fin congreso
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31/08/2018 |
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Desde la página
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763 |
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Hasta la página
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766 |
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Título de las actas
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2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) [https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8488381] |