학술논문
Scientific Knowledge Construction. A Proposal of a Prognostic Model Based on Disciplinary Complement Networks
Document Type
Conference
Source
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Advances in Social Networks Analysis and Mining (ASONAM), 2018 IEEE/ACM International Conference on. :763-766 Aug, 2018
Subject
Language
ISSN
2473-991X
Abstract
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.