Scientific Knowledge Construction. A Proposal of a Prognostic Model Based on Disciplinary Complement Networks
| Autor: | Gastón Olivares, Juan Pablo Cárdenas, Juan Carlos Losada, Rosa Maria Benito |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Sociology of scientific knowledge
Knowledge management Computer science business.industry 02 engineering and technology Complex network Complement (complexity) Work (electrical) 020204 information systems 0202 electrical engineering electronic engineering information engineering Prognostic model 020201 artificial intelligence & image processing business Discipline Scientific disciplines |
| Zdroj: | ASONAM |
| DOI: | 10.1109/asonam.2018.8508271 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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