My main interests are in the quantification of knowledge and of its exchange in academia and in R&D activities.
In particular, I concentrate on two specific classes of problems. The first class of problems is related to the question of how knowledge artifacts are linked to each other, ranked and filtered in repositories. Examples of repositories are patent and scientific publication databases. The second class of problems relates to the question of how knowledge is exchanged and transferred. Indeed, knowledge is not only produced and encoded in knowledge artifacts, as patents or scientific publications, but it is also exchanged by humans and it diffuses in our society. R&D alliances among firms and co-authorship of papers among scientists are examples of activities favoring knowledge exchange. While the physical migration of inventors or scientists is an example of knowledge transfer/migration.
To answer the above questions, I develop statistical methods and agent-based models.
Giacomo's most recent publications
When standard network measures fail to rank journals: A theoretical and empirical analysis
arXiv - 2021
Reproducing scientists' mobility: a data-driven model
Scientific Reports - 2021
Should the government reward cooperation? Insights from an agent-based model of wealth redistribution
Advances in Complex Systems - 2021
The mobility network of scientists: Analyzing temporal correlations in scientific careers
Applied Network Science - 2020
What is the Entropy of a Social Organization?
Entropy - 2019
Quantifying knowledge exchange in R&D networks: A data-driven model
Journal of Evolutionary Economics - 2018
Quantifying and suppressing ranking bias in a large citation network
Journal of Informetrics - 2017
Data-driven modeling of collaboration networks: A cross-domain analysis
EPJ Data Sci. - 2017