Network Science Final Project by Marvee dela Resma, Patrick Guillano La Rosa, Miguel Carlo Pingol, and Christian Alfred Soriano - June 23, 2022. The code can be found in this Notebook, and the full report is included in the Technical Report. If you have any questions regarding this study, please send me a message via LinkedIn.
Presenting insights into the existing collaboration dynamics of state universities and colleges (SUC) in the Philippines with the objective of contributing to the optimization of the R&D productivity. This is a critical component in the generation of new knowledge, fostering innovation, and the long-term economic development of a developing country.
We identified three progressive profiles of SUC co-authorship networks that can be useful in crafting strategies to further collaborations. Profile-1 networks were found to be highly disconnected with no prominent components; instead, they consist of dyads, and small isolated cliques. We also differentiated between co-authorship networks comparable to small-world networks (Profile-2) and Profile-3, which implicates the emergence of large components from the eventual linkage of smaller components found in previous profiles. From here, university-level policies are suggested to develop research collaboration systems.
We also performed exploratory network analysis to identify critical entities in the networks, exploring various centrality measures focused on insights-extraction. As part of the descriptive analysis, we also extracted network communities that may be significant in helping funding agencies identify relevant R&D programs for various SUCs.
A projected inter-university author network was also formed using topics as connections. We extracted notable authors and identified communities that can serve as working groups for identified topics.