Metodología para construir una red de investigadores con base en teoría de redes complejas
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.9818Keywords:
Complex networks, Scientific and technological surveillance, Research networks, Centrality measures, Higher Education Institutions (HEI), PythonAbstract
In this work, a computational tool based on network theory and scientific-technological surveillance was implemented to visualize the research trends of a higher education institution: case study, Corporación universitaria empresarial Alexander von Humboldt. For this purpose, an instrument was developed to collect information on the institution's research projects, based on which different types of networks (keywords and authors) were constructed. Finally, an analysis was made of each of these networks and the centrality of the networks was studied, resulting in a poorly connected network with low density. Similarly, the different research trends in the institution were identified, as well as the researchers with the greatest diversity of topics.
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