Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations

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Autori principali: Toobaee, Mohammadmahdi, Schiffauerova, Andrea, Ebadi, Ashkan
Natura: Preprint
Pubblicazione: 2024
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author Toobaee, Mohammadmahdi
Schiffauerova, Andrea
Ebadi, Ashkan
author_facet Toobaee, Mohammadmahdi
Schiffauerova, Andrea
Ebadi, Ashkan
contents The role of geographical proximity in facilitating inter-regional or inter-organizational collaborations has been studied thoroughly in recent years. However, the effect of geographical proximity on forming scientific collaborations at the individual level still needs to be addressed. Using publication data in the field of artificial intelligence from 2001 to 2019, in this work, the effect of geographical proximity on the likelihood of forming future scientific collaborations among researchers is studied. In addition, the interaction between geographical and network proximities is examined to see whether network proximity can substitute geographical proximity in encouraging long-distance scientific collaborations. Employing conventional and machine learning techniques, our results suggest that geographical distance impedes scientific collaboration at the individual level despite the tremendous improvements in transportation and communication technologies during recent decades. Moreover, our findings show that the effect of network proximity on the likelihood of scientific collaboration increases with geographical distance, implying that network proximity can act as a substitute for geographical proximity.
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id arxiv_https___arxiv_org_abs_2406_06662
institution arXiv
publishDate 2024
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spellingShingle Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations
Toobaee, Mohammadmahdi
Schiffauerova, Andrea
Ebadi, Ashkan
Social and Information Networks
Artificial Intelligence
Digital Libraries
Machine Learning
Physics and Society
The role of geographical proximity in facilitating inter-regional or inter-organizational collaborations has been studied thoroughly in recent years. However, the effect of geographical proximity on forming scientific collaborations at the individual level still needs to be addressed. Using publication data in the field of artificial intelligence from 2001 to 2019, in this work, the effect of geographical proximity on the likelihood of forming future scientific collaborations among researchers is studied. In addition, the interaction between geographical and network proximities is examined to see whether network proximity can substitute geographical proximity in encouraging long-distance scientific collaborations. Employing conventional and machine learning techniques, our results suggest that geographical distance impedes scientific collaboration at the individual level despite the tremendous improvements in transportation and communication technologies during recent decades. Moreover, our findings show that the effect of network proximity on the likelihood of scientific collaboration increases with geographical distance, implying that network proximity can act as a substitute for geographical proximity.
title Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations
topic Social and Information Networks
Artificial Intelligence
Digital Libraries
Machine Learning
Physics and Society
url https://arxiv.org/abs/2406.06662