Quantifying the impact of weak, strong, and super ties in scientific careers

被引:122
|
作者
Petersen, Alexander Michael [1 ]
机构
[1] Inst Markets Technol IMT Lucca Inst Adv Studies, Lab Anal Complex Econ Syst, I-55100 Lucca, Italy
关键词
computational social science; cooperation; team science; career evaluation; bibliometrics; NETWORK STRUCTURE; EVOLUTION; EXPLORATION; STRENGTH; CREDIT; AUTHOR;
D O I
10.1073/pnas.1501444112
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
Scientists are frequently faced with the important decision to start or terminate a creative partnership. This process can be influenced by strategic motivations, as early career researchers are pursuers, whereas senior researchers are typically attractors, of new collaborative opportunities. Focusing on the longitudinal aspects of scientific collaboration, we analyzed 473 collaboration profiles using an egocentric perspective that accounts for researcher-specific characteristics and provides insight into a range of topics, from career achievement and sustainability to team dynamics and efficiency. From more than 166,000 collaboration records, we quantify the frequency distributions of collaboration duration and tie strength, showing that collaboration networks are dominated by weak ties characterized by high turnover rates. We use analytic extreme value thresholds to identify a new class of indispensable super ties, the strongest of which commonly exhibit >50% publication overlap with the central scientist. The prevalence of super ties suggests that they arise from career strategies based upon cost, risk, and reward sharing and complementary skill matching. We then use a combination of descriptive and panel regression methods to compare the subset of publications coauthored with a super tie to the subset without one, controlling for pertinent features such as career age, prestige, team size, and prior group experience. We find that super ties contribute to above-average productivity and a 17% citation increase per publication, thus identifying these partnerships-the analog of life partners-as a major factor in science career development.
引用
收藏
页码:E4671 / E4680
页数:10
相关论文
共 50 条
  • [1] Quantifying the impact of strong ties in international scientific research collaboration
    Liu, Junwan
    Guo, Xiaofei
    Xu, Shuo
    Zhang, Yueyan
    PLOS ONE, 2023, 18 (01):
  • [2] Strong, weak, and latent ties and the impact of new media
    Haythornthwaite, C
    INFORMATION SOCIETY, 2002, 18 (05): : 385 - 401
  • [3] Weak links, strong ties
    Cybenko, George
    IEEE SECURITY & PRIVACY, 2006, 4 (06) : 3 - 3
  • [4] STRONG TIES AND SCIENTIFIC LITERATURE
    MURRAY, SO
    POOLMAN, RC
    SOCIAL NETWORKS, 1982, 4 (03) : 225 - 232
  • [5] Strong and weak ties in employment and crime
    Calvo-Armengol, Antoni
    Verdier, Thieny
    Zenou, Yves
    JOURNAL OF PUBLIC ECONOMICS, 2007, 91 (1-2) : 203 - 233
  • [6] Strong versus weak ties in migration
    Giulietti, Corrado
    Wahba, Jackline
    Zenou, Yves
    EUROPEAN ECONOMIC REVIEW, 2018, 104 : 111 - 137
  • [7] A continuous model of strong and weak ties
    Griffith, Alan
    JOURNAL OF PUBLIC ECONOMIC THEORY, 2022, 24 (06) : 1519 - 1563
  • [8] What Makes Weak Ties Strong?
    Kim, Minjae
    Fernandez, Roberto M.
    ANNUAL REVIEW OF SOCIOLOGY, 2023, 49 : 177 - 193
  • [9] Social Recommendation with Strong and Weak Ties
    Wang, Xin
    Lu, Wei
    Ester, Martin
    Wang, Can
    Chen, Chun
    CIKM'16: PROCEEDINGS OF THE 2016 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2016, : 5 - 14
  • [10] Strong Ties and Weak Ties Rationality: Theory and Scale Development
    Louise Sundararajan
    Kuang-Hui Yeh
    Integrative Psychological and Behavioral Science, 2022, 56 : 405 - 419