2024-03-28T11:15:23Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1700612020-11-25T13:07:23Zcom_10261_29com_10261_7col_10261_408
2018-09-23T12:06:39Z
urn:hdl:10261/170061
Revealing existing and potential partnerships: affinities and asymmetries in international collaboration and mobility
Chinchilla-Rodríguez, Zaida
Bu, Yi
Robinson-García, Nicolás
Costas Comesaña, Rodrigo
Sugimoto, Cassidy R.
Ministerio de Economía, Industria y Competitividad (España)
Ministerio de Educación, Cultura y Deporte (España)
National Science Foundation (US)
Chinchilla-Rodríguez, Zaida [0000-0002-1608-4478]
Costas Comesaña, Rodrigo [0000-0002-7465-6462]
Sugimoto, Cassidy R. [0000-0001-8608-3203]
Robinson-García, Nicolás [0000-0002-0585-7359]
Scientometrics
Scholarly communication
Scientific mobility
International collaboration
Science Policy
This study provides a preliminary analysis of the international profiles in collaboration and mobility using the seven countries indicated in the US executive order of January 27, 2017. The objective of this research is to analyze the flow of knowledge between countries and the relative importance of specific countries in order to inform evidence-based science policy. The work serves as a proof-of-concept of the utility of asymmetry and affinity indexes for collaboration and mobility. Comparative analyses of these indicators can be useful for informing immigration policies and motivating collaboration and mobility initiatives. Our analysis reinforces many of the established understandings of collaboration and mobility relationships—emphasizing the importance of geographic and cultural similarities. The analysis also explores the varied lenses on the importance of particular countries, when viewed from egocentric and relational perspectives. Our analysis suggests that comparisons of collaboration and mobility from an affinity perspective can identify gaps for mobility initiatives, given established scientific relationships. This approach can inform international immigration policies, but can also serve to identify potential partnerships at other levels of analysis (e.g., institutional, sectoral, or by state/province).
2018-09-23T12:06:39Z
2018-09-23T12:06:39Z
2017
comunicación de congreso
http://hdl.handle.net/10261/170061
http://dx.doi.org/10.13039/100000001
http://dx.doi.org/10.13039/501100003176
http://dx.doi.org/10.13039/501100010198
eng
Publisher's version
Sí
openAccess
International Society of Scientometrics and Informetrics