  This paper presents an approach proposed for the Science4cast 2021
competition, organized by the Institute of Advanced Research in Artificial
Intelligence, whose main goal was to predict the likelihood of future
associations between machine learning concepts in a semantic network. The
developed methodology corresponds to a solution for a scenario of availability
of low computational power only, exploiting the extraction of low order
topological features and its incorporation in an optimized classifier to
estimate the degree of future connections between the nodes. The reasons that
motivated the developed methodologies will be discussed, as well as some
results, limitations and suggestions of improvements.
