The present research focuses on two different types of participants in students mobility programs. On the one hand, we evaluate the impact of previously established networks on academic performance of Master degree students who spend two years of their studies in two different universities. On the other hand, we check on the importance of existent networks for undergraduate students that move...
Recently, STEM disciplines - which stands for Science, Technology, Engineering, and Mathematics and encompasses a broad range of scientific fields - have been increasingly recognized for their influence on global economic well-being, particularly given the relevance of hot topics such as innovation, digitization, and the ecological transition, which are indirectly related to STEM fields. In...
The present contribution aims at introducing an analytic strategy to study complex networks in which sets of different units are linked. Multimode network formalization and data processing are reported by considering real-data on intra-national university mobility. A community detection algorithm is adopted for partitioning filtered bipartite weighted networks describing Italian student...
This contribution stems from the general framework of the analysis of student mobility flows, between universities, in a specific geographical context.
We refer to a specific regional level of analysis, considering the case of the Campania region in Italy.
Starting from raw data measuring the occurrence of the students' churn decision in the transition from the first to the second year of the...
