Modeling the coevolution between citations and coauthorship of scientific papers

Zheng Xie (), Zonglin Xie, Miao Li, Jianping Li and Dongyun Yi
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Zheng Xie: National University of Defense Technology
Zonglin Xie: National University of Defense Technology
Miao Li: Shanghai Jiao Tong University
Jianping Li: National University of Defense Technology
Dongyun Yi: National University of Defense Technology

Scientometrics, 2017, vol. 112, issue 1, No 26, 483-507

Abstract: Abstract Collaborations and citations within scientific research grow simultaneously and interact dynamically. Modelling the coevolution between them helps to study many phenomena that can be approached only through combining citation and coauthorship data. A geometric graph for the coevolution is proposed, the mechanism of which synthetically expresses the interactive impacts of authors and papers in a geometrical way. The model is validated against a dataset of papers published on PNAS during 2007–2015. The validation shows the ability to reproduce a range of features observed with citation and coauthorship data combined and separately. Particularly, in the empirical distribution of citations per author there exist two limits, in which the distribution appears as a generalized Poisson and a power-law respectively. Our model successfully reproduces the shape of the distribution, and provides an explanation for how the shape emerges via the decisions of authors. The model also captures the empirically positive correlations between the numbers of authors’ papers, citations and collaborators.

Keywords: Coauthorship network; Citation network; Coevolution; Complex network (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (6)

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DOI: 10.1007/s11192-017-2359-1

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