Scientific Knowledge Construction. A Proposal of a Prognostic Model Based on Disciplinary Complement Networks

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.