Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013

Yun Liu, Yijie Cheng, Zhe Yan and Xuanting Ye
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Yun Liu: School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
Yijie Cheng: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Zhe Yan: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
Xuanting Ye: School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China

Sustainability, 2018, vol. 10, issue 4, 1-19

Abstract: Influenza virus vaccine plays an important role in preventing influenza and protecting people’s health. The international collaboration in influenza virus vaccine field is related to the sustainability of healthcare. To understand the elaborate characteristics of multiform international collaboration in the influenza virus vaccine field, this paper constructs a multilayered analytical framework (at the country, city and institution levels) of international scientific collaboration to examine the regional distribution, dynamic changes and common themes of collaboration. A total of 1878 international collaboration papers of the influenza virus vaccine field published from 2006 to 2013 were collected from the Web of Science database. Based on this dataset, the paper utilizes bibliometrics and social network analysis approaches to explore international publication trends and collaboration performance in the influenza virus vaccine field. Results show that: (1) the three kinds of collaboration networks (country, city and institution levels) all present dynamic structures, strong core-periphery characteristics, and their degree centrality distributions follows segmented Zifp-Pareto distribution; and (2) although it is known that there exist corresponding relationships among countries, cities and institutions in the geographical position, most of their associated categories, network locations and changing trends are all non-conformal. These findings suggest that multilayered analysis enables a more comprehensive understanding of international scientific collaboration in the influenza virus vaccine field. In general, detailed conclusions can help different levels of governments to draw policy implications for promoting further international collaboration research to enhance the ability on preventing the disease.

Keywords: international scientific collaboration; influenza virus vaccine; multilayered analytical framework; collaboration network; bibliometric methods; social network analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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