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Collaboration network and pattern analysis: case study of dye-sensitized solar cells

Author

Listed:
  • Xuefeng Wang

    (Beijing Institute of Technology)

  • Rongrong Li

    (Beijing Institute of Technology)

  • Shiming Ren

    (Beijing Institute of Technology)

  • Donghua Zhu

    (Beijing Institute of Technology)

  • Meng Huang

    (Beijing Institute of Technology)

  • Pengjun Qiu

    (Beijing Institute of Technology)

Abstract

Nowadays, the development of emerging technology has become a double-edged sword in the scientific world. It can not only bring lots of innovation to society, but may also cause some terrible consequences due to its unknown factors. International collaboration may be able to reduce risks, which means a lot to the exploration of the emerging technology. Taking dye-sensitized solar cells (DSSCs) as an example, this paper examines the rapid growth of Chinese DSSCs research and the rise of collaboration between China and other countries/region. We use bibliometric and social network analysis methods to explore the patterns of scientific collaboration at country, institution and individual levels using data from the Science Citation Index. Examining overall trends shows that China has increased her position in DSSCs around the world. Furthermore, by focusing on the individual level, we find that the most influential authors tend to have fixed co-author networks and author name order, which is something worth considering. We use co-author analysis software independently developed to check three kinds of fixed co-author networks to explore author contributions, influence, and Author Activity Index rank in collaboration networks and use the rank we calculated to further explain author contributions in the networks. Results show that Chinese-X (e.g., Chinese-American) authors have pushed the collaboration between country and country and almost every kind of small network has a top author in it to gather others together. The modified author activity index rank list may reflect real research level. Author collaboration patterns have been impacted by the kinds of their institutions to some degree. These results can undoubtedly promote the international collaboration and the innovation process in the similar emerging technology fields.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-013-1180-8
    DOI: 10.1007/s11192-013-1180-8
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    References listed on IDEAS

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    8. Song, Le & Ma, Yinghong, 2022. "Evaluating tacit knowledge diffusion with algebra matrix algorithm based social networks," Applied Mathematics and Computation, Elsevier, vol. 428(C).
    9. Huang, Ying & Porter, Alan L. & Zhang, Yi & Lian, Xiangpeng & Guo, Ying, 2019. "An assessment of technology forecasting: Revisiting earlier analyses on dye-sensitized solar cells (DSSCs)," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 831-843.
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