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Global Network Centrality of University Rankings

PUBLISHED | 2017 in Royal Society Open Science [IF: 2.24]
DOI | 10.1098/rsos.171172
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Abstract
Universities and higher education institutions form an integral part of the national infrastructure and prestige. As academic research benefits increasingly from international exchange and cooperation, many universities have increased investment in improving and enabling their global connectivity. Yet, the relationship of university performance and its global physical connectedness has not been explored in detail. We conduct, to our knowledge, the first large-scale data-driven analysis into whether there is a correlation between university relative ranking performance and its global connectivity via the air transport network. The results show that local access to global hubs (as measured by air transport network betweenness ) strongly and positively correlates with the ranking growth (statistical significance in different models ranges between 5% and 1% level). We also found that the local airport’s aggregate flight paths ( degree ) and capacity ( weighted degree ) has no effect on university ranking, further showing that global connectivity distance is more important than the capacity of flight connections. We also examined the effect of local city economic development as a confounding variable and no effect was observed suggesting that access to global transportation hubs outweighs economic performance as a determinant of university ranking. The impact of this research is that we have determined the importance of the centrality of global connectivity and, hence, established initial evidence for further exploring potential connections between university ranking and regional investment policies on improving global connectivity.
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J. Mark Elwood15
Estimated H-index: 15
(University of Auckland)
Cited 71 Source
Ben Wildavsky1
Estimated H-index: 1
Acknowledgments ix Introduct ion: What Is Global Higher Education--and Why Does It Matter? 1 Chapter One The Worldwide Race for Talent 14 Chapter Two: Branching Out 42 Chapter Three: Wanted: World-Class Universities 70 Chapter Four: College Rankings Go Global 100 Chapter Five: For-Profits on the Move 141 Chapter Six: Free Trade in Minds 167 Afterword 194 Notes 199 Index 221
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Michael Schrenk1
Estimated H-index: 1
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Wolfgang Glänzel32
Estimated H-index: 32
(Hungarian Academy of Sciences)
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Philip G. Altbach30
Estimated H-index: 30
(Boston College),
Liz Reisberg4
Estimated H-index: 4
(Boston College)
The use of agents and recruiters are increasingly common by universities to attract international students. This article focuses on some of the criticisms and problems related to agents and recruiters, and points to ways that universities and governments can best serve their own needs as well as the needs of prospective students.
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2005 in Research Policy [IF: 4.50]
Caroline S. Wagner19
Estimated H-index: 19
(George Washington University),
Loet Leydesdorff53
Estimated H-index: 53
(University of Amsterdam)
Different approaches have been used to analyse international collaboration in science but none can fully explain its rapid growth. Using international co-authorships, we test the hypothesis that international collaboration is a self-organising network. Applying tools from network analysis, the paper shows that the growth of international co-authorships can be explained based on the organising prin...
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David Gonzalez-Prieto3
Estimated H-index: 3
(Polytechnic University of Catalonia),
Pep Simo12
Estimated H-index: 12
(Polytechnic University of Catalonia),
Oriol Lordan8
Estimated H-index: 8
(Polytechnic University of Catalonia)
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This paper presents a methodology for the detection of critical airports (those whose isolation would cause the largest losses in network connectivity) in the global air transport network (ATN), based on simulating an attack on selected ATN airports using different adaptive selection criteria. The performances of several node selection criteria are compared, together with a new criterion based on ...
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2010 in Scientometrics [IF: 2.15]
Isidro F. Aguillo17
Estimated H-index: 17
(Spanish National Research Council),
Mark Levene25
Estimated H-index: 25
("Birkbeck, University of London"),
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Estimated H-index: 16
(Spanish National Research Council)
... (1 others)
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Pranab Kumar Sen16
Estimated H-index: 16
(University of North Carolina at Chapel Hill)
Abstract The least squares estimator of a regression coefficient β is vulnerable to gross errors and the associated confidence interval is, in addition, sensitive to non-normality of the parent distribution. In this paper, a simple and robust (point as well as interval) estimator of β based on Kendall's [6] rank correlation tau is studied. The point estimator is the median of the set of slopes (Yj...
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Vittoria Colizza31
Estimated H-index: 31
(Indiana University Bloomington),
Marc Barthelemy36
Estimated H-index: 36
(Indiana University Bloomington),
Alessandro Vespignani65
Estimated H-index: 65
(Indiana University Bloomington)
... (1 others)
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2018 in Royal Society Open Science [IF: 2.24]
Jeremy K. M. Sanders44
Estimated H-index: 44
(University of Cambridge)
Royal Society Open Science celebrated its third birthday in September 2017, and as we look ahead to fresh successes, the start of 2018 seems an opportune moment to pick out some journal highlights from the last 12 months:
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