Quantifying the impact of strong ties in international scientific research collaboration

被引:6
|
作者
Liu, Junwan [1 ]
Guo, Xiaofei [1 ]
Xu, Shuo [1 ]
Zhang, Yueyan [1 ]
机构
[1] Beijing Univ Technol, Coll Econ & Management, Beijing, Peoples R China
来源
PLOS ONE | 2023年 / 18卷 / 01期
基金
中国国家自然科学基金;
关键词
NETWORK STRUCTURE; KNOWLEDGE CREATION; SELF-ORGANIZATION; SCIENCE; PATTERNS; COUNTRIES; STRENGTH; MOBILITY; GROWTH; TEAMS;
D O I
10.1371/journal.pone.0280521
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Tie strength has been examined as an antecedent of creativity. Although it has been discovered that international collaboration affects scientific performance, the effect of tie strength in the international collaboration network has been largely neglected. Based on international publications of 72 countries/regions published from 1993 to 2013, we combine descriptive and panel regression methods to examine how the bonding of strong collaboration ties contributes to countries' international scientific performance. Strong ties occur at an average rate of 1 in 4 collaborators, whereas countries/regions share on average 84% of articles with their strong-tie collaborators. Our quantitative results provide an explanation for this phenomenon in international collaboration: the establishment of a strong tie relationship contributes to above-average productivity and citation frequency for countries/regions. To further explore which types of strong ties tend to have stronger citation impact, we analyse the relationship between persistent and stable collaboration and publication citation impact. Experimental results show that international collaborations with greater persistence and moderate stability tend to produce high impact publications. It is noteworthy that when the collaboration period is divided into different time intervals, similar findings can be found after the same analysis procedure is carried out. This indicates that our conclusions are robust. Overall, this study provides quantitative insights into the added value of long-term commitment and social trust associated with strong collaborative partnerships in international collaboration.
引用
收藏
页数:26
相关论文
共 50 条
  • [1] Quantifying the impact of weak, strong, and super ties in scientific careers
    Petersen, Alexander Michael
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (34) : E4671 - E4680
  • [2] The strength of strong ties in scientific collaboration networks
    Pan, Raj Kumar
    Saramaki, Jari
    [J]. EPL, 2012, 97 (01)
  • [3] Quantifying the benefits of international scientific collaboration
    Guerrero Bote, Vicente P.
    Olmeda-Gomez, Carlos
    de Moya-Anegon, Felix
    [J]. JOURNAL OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE AND TECHNOLOGY, 2013, 64 (02): : 392 - 404
  • [4] Scientific Research of International and Cultural Ties
    Blazevic-Krezic, Vera
    [J]. LINGUA MONTENEGRINA, 2018, 21 : 423 - 425
  • [5] International collaboration in scientific research in Vietnam: an analysis of patterns and impact
    Nguyen, Tuan V.
    Ho-Le, Thao P.
    Le, Ut V.
    [J]. SCIENTOMETRICS, 2017, 110 (02) : 1035 - 1051
  • [6] International collaboration in scientific research in Vietnam: an analysis of patterns and impact
    Tuan V. Nguyen
    Thao P. Ho-Le
    Ut V. Le
    [J]. Scientometrics, 2017, 110 : 1035 - 1051
  • [7] Research upon return: The effect of international mobility on scientific ties, production and impact
    Jonkers, Koen
    Cruz-Castro, Laura
    [J]. RESEARCH POLICY, 2013, 42 (08) : 1366 - 1377
  • [8] International Publication Trends and Collaboration Impact on the Scientific Research of Saudi Arabia
    Babour, Amal
    Alzamzami, Ohoud
    [J]. JOURNAL OF SCIENTOMETRIC RESEARCH, 2021, 10 (03) : 328 - 336
  • [9] Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration
    Hou, Lei
    Pan, Yueling
    Zhu, Jonathan J. H.
    [J]. JOURNAL OF INFORMETRICS, 2021, 15 (03)
  • [10] Quantifying scientific collaboration impact by exploiting collaboration-citation network
    Xiaomei Bai
    Fuli Zhang
    Jinzhou Li
    Zhong Xu
    Zeeshan Patoli
    Ivan Lee
    [J]. Scientometrics, 2021, 126 : 7993 - 8008