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How does collaboration affect researchers’ positions in co-authorship networks?

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  • Kong, Xiangjie
  • Mao, Mengyi
  • Jiang, Huizhen
  • Yu, Shuo
  • Wan, Liangtian

Abstract

Collaboration usually has a positive effect on researchers’ productivity: researchers have become increasingly collaborative, according to recent studies. Numerous studies have focused on enhancing research collaboration by recommendation technology and measuring the influence of researchers. However, few studies have investigated the effect of collaboration on the position of a researcher in the research social network. In this paper, we explore the relationships between collaboration and influence by social analytical methods, which are pertinent to analyzing the network structure and individual traits. We evaluate three aspects of the researchers’ influence: friendship paradox validation, social circle, and structure of a researcher's ego network. Furthermore, the ”six degrees of Bacon number” theory, generalized friendship paradox, and triadic closure theory are introduced to support our analysis. Experimental results show that collaboration can help researchers increase their influence to some extent.

Suggested Citation

  • Kong, Xiangjie & Mao, Mengyi & Jiang, Huizhen & Yu, Shuo & Wan, Liangtian, 2019. "How does collaboration affect researchers’ positions in co-authorship networks?," Journal of Informetrics, Elsevier, vol. 13(3), pages 887-900.
    • Handle: RePEc:eee:infome:v:13:y:2019:i:3:p:887-900
    DOI: 10.1016/j.joi.2019.07.005
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    Cited by:

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    2. Yitong Chen & Keye Wu & Yue Li & Jianjun Sun, 2023. "Impacts of inter-institutional mobility on scientific performance from research capital and social capital perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(6), pages 3473-3506, June.
    3. Wu, Leyan & Yi, Fan & Bu, Yi & Lu, Wei & Huang, Yong, 2024. "Toward scientific collaboration: A cost-benefit perspective," Research Policy, Elsevier, vol. 53(2).
    4. Xiaomei Bai & Fuli Zhang & Jinzhou Li & Zhong Xu & Zeeshan Patoli & Ivan Lee, 2021. "Quantifying scientific collaboration impact by exploiting collaboration-citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7993-8008, September.
    5. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).
    6. Rojko, Katarina & Lužar, Borut, 2022. "Scientific performance across research disciplines: Trends and differences in the case of Slovenia," Journal of Informetrics, Elsevier, vol. 16(2).
    7. Yadav, Pratyush & Pervin, Nargis, 2022. "Towards efficient navigation in digital libraries: Leveraging popularity, semantics and communities to recommend scholarly articles," Journal of Informetrics, Elsevier, vol. 16(4).
    8. Hayat D. Bedru & Chen Zhang & Feng Xie & Shuo Yu & Iftikhar Hussain, 2023. "CLARA: citation and similarity-based author ranking," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(2), pages 1091-1117, February.
    9. Hou, Lei & Pan, Yueling & Zhu, Jonathan J.H., 2021. "Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration," Journal of Informetrics, Elsevier, vol. 15(3).
    10. Zhenhua Yang (Alamo) & Yanmei Xu, 2021. "The Role of Collaboration Breadth Attributes in Research Project and Innovation: The Example of National Funded Projects in China," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    11. Lei Hou & Jiashan Luo & Xue Pan, 2022. "Research Topic Specialization of Universities in Information Science and Library Science and Its Impact on Inter-University Collaboration," Sustainability, MDPI, vol. 14(15), pages 1-14, July.

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