Exploratory Analysis of Academic Collaborations between French and US
George Panagopoulos, Michalis Vazirgiannis

TL;DR
This paper explores the collaboration patterns between French and US academic institutions using network analysis on the Microsoft Academic Graph, revealing key institutions and increasing collaboration trends.
Contribution
It introduces a novel analysis of international collaborations between France and the US using bibliographic data and network analysis techniques.
Findings
Harvard, MIT, and CNRS are prominent institutions in collaborations.
Collaboration between France and US is increasing over time.
Network analysis provides detailed insights into collaboration patterns.
Abstract
International academic collaborations cultivate diversity in the research landscape and facilitate multiperspective methods, as the scope of each country's science depends on its needs, history, wealth etc. Moreover the quality of science differ significantly amongst nations\cite{king2004scientific}, which renders international collaborations a potential source to understand the dynamics between countries and their advancements. Analyzing these collaborations can reveal sharing expertise between two countries in different fields, the most well-known institutions of a nation, the overall success of collaborative efforts compared to local ones etc. Such analysis were initially performed using statistical metrics \cite{melin1996studying}, but network analysis has later proven much more expressive \cite{wagner2005mapping,gonzalez2008coauthorship}. In this exploratory analysis, we aim to…
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Taxonomy
TopicsWeb visibility and informetrics · Complex Network Analysis Techniques · Bioinformatics and Genomic Networks
