The Company You Keep: Mapping Scientific Collaboration with Graphs

Session Track: Data Intelligence

Session Time: 09:45 pm - 10:00 pm November 6

Session description

What if your chances for future collaboration were shaped not just by your work but by who your co-authors are and who they collaborate with? In this lightning talk, Pedro will share how he used Neo4j to turn co-authorship data into a scientific collaboration graph, revealing the hidden communities that shape research networks. Through a case study focused on authors from the University of Campinas (UNICAMP)—Brazil’s leading institution in computer science and computer engineering—you'll discover how community detection algorithms and graph thinking can surface surprising patterns in academic life, as well as how belonging to the “right” community might just open the door to your next big collaboration.

Speaker

Pedro Sader Azevedo

Research Software Developer, Brazilian Center for Research in Energy and Materials

Pedro Sader Azevedo is a computer engineering graduate from the University of Campinas (UNICAMP) and an open-source research software developer at the Brazilian Center for Research in Energy and Materials (CNPEM)—working within LNBR, the Brazilian Biorenewables National Laboratory. He is the creator of parsomics, a suite of data management tools for metagenomics research. Currently, Pedro is exploring scientific collaboration networks, using Neo4j to uncover patterns in academic co-authorship. His prior work with data modeling includes using relational databases to trace the spread of bioaccumulating pollutants across food networks.