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Cross‐affiliation collaboration and power laws for research output of institutions: Evidence and theory from top three finance journals

Authors :
Hui Dong
Dan Luo
Xudong Zeng
Zhentao Zou
Source :
International Studies of Economics, Vol 18, Iss 4, Pp 502-526 (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Cross‐affiliation emerges as a new and fast‐developing means to promote collaboration in financial research. We find that the average number of affiliations reported per author in the top‐three finance journals increases steadily from 1.1 to 1.3 from 1995 to 2016. Scale‐free power laws characterize the resulting highly‐skewed distributions of top finance journal publications of worldwide institutions. We propose an explanation of the scale‐invariance, based on a network model featuring nonlinear growth and linear preferential attachment. The model indicates that success‐breeds‐success engenders 87% of total publications and hence the dispersion in research output, while accelerated growth of collaboration reduces the heterogeneity.

Details

Language :
English
ISSN :
28313224
Volume :
18
Issue :
4
Database :
Directory of Open Access Journals
Journal :
International Studies of Economics
Publication Type :
Academic Journal
Accession number :
edsdoj.2d22f607f924493a6c86e090b2775fe
Document Type :
article
Full Text :
https://doi.org/10.1002/ise3.52