IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v10y2018i4p1232-d141707.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/10/4/1232/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/10/4/1232/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jia Zheng & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Xiao-Ping Lei & Ze-Yu Zhang & Yun-Hua Zhao, 2012. "International scientific and technological collaboration of China from 2004 to 2008: a perspective from paper and patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 65-80, April.
    2. Xuefeng Wang & Rongrong Li & Shiming Ren & Donghua Zhu & Meng Huang & Pengjun Qiu, 2014. "Collaboration network and pattern analysis: case study of dye-sensitized solar cells," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1745-1762, March.
    3. Giuditta Prato & Daniel Nepelski, 2014. "Global technological collaboration network: network analysis of international co-inventions," The Journal of Technology Transfer, Springer, vol. 39(3), pages 358-375, June.
    4. Zachary Neal, 2011. "Differentiating Centrality and Power in the World City Network," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2733-2748, October.
    5. Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Jia Zheng & Run-Sheng Liu & Jing Zhang & Yun-Hua Zhao, 2013. "Technological collaboration patterns in solar cell industry based on patent inventors and assignees analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 427-441, August.
    6. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    7. Pu Han & Jin Shi & Xiaoyan Li & Dongbo Wang & Si Shen & Xinning Su, 2014. "International collaboration in LIS: global trends and networks at the country and institution level," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 53-72, January.
    8. Wagner, Caroline S. & Leydesdorff, Loet, 2005. "Network structure, self-organization, and the growth of international collaboration in science," Research Policy, Elsevier, vol. 34(10), pages 1608-1618, December.
    9. Jia Zheng & Zhi-yun Zhao & Xu Zhang & Dar-zen Chen & Mu-hsuan Huang, 2014. "International collaboration development in nanotechnology: a perspective of patent network analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 683-702, January.
    10. Ortega, José Luis & Aguillo, Isidro F., 2013. "Institutional and country collaboration in an online service of scientific profiles: Google Scholar Citations," Journal of Informetrics, Elsevier, vol. 7(2), pages 394-403.
    11. María Bordons & Javier Aparicio & Rodrigo Costas, 2013. "Heterogeneity of collaboration and its relationship with research impact in a biomedical field," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 443-466, August.
    12. Marcus R. Keogh‐Brown & Simon Wren‐Lewis & W. John Edmunds & Philippe Beutels & Richard D. Smith, 2010. "The possible macroeconomic impact on the UK of an influenza pandemic," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1345-1360, November.
    13. Nicholas V. Olijnyk, 2015. "An algorithmic historiography of the Ebola research specialty: mapping the science behind Ebola," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 623-643, October.
    14. Yan, Erjia & Guns, Raf, 2014. "Predicting and recommending collaborations: An author-, institution-, and country-level analysis," Journal of Informetrics, Elsevier, vol. 8(2), pages 295-309.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hangzhou Yang & Huiying Gao, 2018. "Toward Sustainable Virtualized Healthcare: Extracting Medical Entities from Chinese Online Health Consultations Using Deep Neural Networks," Sustainability, MDPI, vol. 10(9), pages 1-18, September.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yun Liu & Zhe Yan & Yijie Cheng & Xuanting Ye, 2018. "Exploring the Technological Collaboration Characteristics of the Global Integrated Circuit Manufacturing Industry," Sustainability, MDPI, vol. 10(1), pages 1-23, January.
    2. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    3. Cao Zhan & Derudder Ben & Dai Liang & Peng Zhenwei, 2023. "An analysis of the evolution of Chinese cities in global scientific collaboration networks: Manuscript prepared for special issue on “China’s internationalization and changing role in the world”," ZFW – Advances in Economic Geography, De Gruyter, vol. 67(1), pages 5-19, May.
    4. Lili Wang & Xianwen Wang & Niels J. Philipsen, 2017. "Network structure of scientific collaborations between China and the EU member states," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 765-781, November.
    5. Guan, Jiancheng & Zhang, Jingjing & Yan, Yan, 2015. "The impact of multilevel networks on innovation," Research Policy, Elsevier, vol. 44(3), pages 545-559.
    6. Ba, Zhichao & Mao, Jin & Ma, Yaxue & Liang, Zhentao, 2021. "Exploring the effect of city-level collaboration and knowledge networks on innovation: Evidence from energy conservation field," Journal of Informetrics, Elsevier, vol. 15(3).
    7. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    8. Menger Tu & Sandy Dall'erba & Mingque Ye, 2022. "Spatial and Temporal Evolution of the Chinese Artificial Intelligence Innovation Network," Sustainability, MDPI, vol. 14(9), pages 1-17, April.
    9. Yindan Ye & Kevin De Moortel & Thomas Crispeels, 2020. "Network dynamics of Chinese university knowledge transfer," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1228-1254, August.
    10. Graf, Holger & Kalthaus, Martin, 2018. "International research networks: Determinants of country embeddedness," Research Policy, Elsevier, vol. 47(7), pages 1198-1214.
    11. Dongqing Lyu & Kaile Gong & Xuanmin Ruan & Ying Cheng & Jiang Li, 2021. "Does research collaboration influence the “disruption” of articles? Evidence from neurosciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 287-303, January.
    12. Guan, JianCheng & Zuo, KaiRui & Chen, KaiHua & Yam, Richard C.M., 2016. "Does country-level R&D efficiency benefit from the collaboration network structure?," Research Policy, Elsevier, vol. 45(4), pages 770-784.
    13. Stefano Scarazzati & Lili Wang, 2019. "The effect of collaborations on scientific research output: the case of nanoscience in Chinese regions," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 839-868, November.
    14. Song, Le & Ma, Yinghong, 2022. "Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    15. Sameer Kumar & Vala Ali Rohani & Kuru Ratnavelu, 2014. "International research collaborations of ASEAN Nations in economics, 1979–2010," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 847-867, October.
    16. Fengchao Liu & Na Zhang & Cong Cao, 2017. "An evolutionary process of global nanotechnology collaboration: a social network analysis of patents at USPTO," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1449-1465, June.
    17. Qinchang Gui & Chengliang Liu & DeBin Du, 2019. "The Structure and Dynamic of Scientific Collaboration Network among Countries along the Belt and Road," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    18. Islam, Nazrul & Gyoshev, Stanley & Amona, Daniel, 2020. "External complexities in discontinuous innovation-based R&D projects: Analysis of inter-firm collaborative partnerships that lead to abundance," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    19. Wang, Chun-Chieh & Lin, Jia-Tian & Chen, Dar-Zen & Lo, Szu-Chia, 2023. "A New Look at National Diversity of Inventor Teams within Organizations," Journal of Informetrics, Elsevier, vol. 17(1).
    20. Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen & Mu-Hsuan Huang, 2014. "A comparative study of patent counts by the inventor country and the assignee country," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 577-593, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1232-:d:141707. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.