2023
Journal article  Open Access

Academic mobility from a big data perspective

Pollacci L., Milli L., Bircan T., Rossetti G.

Computational Theory and Mathematics  Modeling and Simulation  Computer Science Applications  Scientific networks  Network analysis  Information Systems  Scientific mobility  Applied Mathematics 

Understanding the careers and movements of highly skilled people plays an ever-increasing role in today's global knowledgebased economy. Researchers and academics are sources of innovation and development for governments and institutions. Our study uses scientific-related data to track careers evolution and Researchers' movements over time. To this end, we define the Yearly Degree of Collaborations Index, which measures the annual tendency of researchers to collaborate intra-nationally, and two scores to measure the mobility in and out of countries, as well as their balance.

Source: International Journal of Data Science and Analytics (Online) (2023). doi:10.1007/s41060-023-00432-6

Publisher: Springer


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BibTeX entry
@article{oai:it.cnr:prodotti:490019,
	title = {Academic mobility from a big data perspective},
	author = {Pollacci L. and Milli L. and Bircan T. and Rossetti G.},
	publisher = {Springer},
	doi = {10.1007/s41060-023-00432-6 and 10.21203/rs.3.rs-1510153/v1},
	journal = {International Journal of Data Science and Analytics (Online)},
	year = {2023}
}

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