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

Author

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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
    Sustainable Development Research Institute for Economy and Society of Beijing, Beijing 100081, China)

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.

Suggested Citation

  • Yun Liu & Yijie Cheng & Zhe Yan & Xuanting Ye, 2018. "Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1232-:d:141707
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    References listed on IDEAS

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    2. Rui Song & Hao Xu & Li Cai, 2019. "Academic Collaboration in Entrepreneurship Research from 2009 to 2018: A Multilevel Collaboration Network Analysis," Sustainability, MDPI, vol. 11(19), pages 1-17, September.

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