Solving the cold-start problem in scientific credit allocation. Issue 3 (August 2021)

• Record Type: Journal Article
• Authors: Xing, Yanmeng; Wang, Fenghua; Zeng, An; Ying, Fan
• Is Part Of: Journal of informetrics. Volume 15:Issue 3(2021)
• Publication Date: 2021-08
• Subjects: Credit allocation -- Co-citing network -- Authorship byline -- Scientific impact; Library statistics -- Periodicals; Information science -- Statistical methods -- Periodicals; Bibliometrics -- Periodicals; Bibliothèques -- Statistiques -- Périodiques; Sciences de l'information -- Méthodes statistiques -- Périodiques; Bibliométrie -- Périodiques; 020.727
• DOI: 10.1016/j.joi.2021.101157
• Languages: English
• ISSNs: 1751-1577

Abstract

Highlights: We introduce an algorithm that can allocate credit to authors in newly published papers. We validate the method by identifying the laureates of Nobel-winning papers. Our method has a significantly higher accuracy and robustness than existing algorithms for papers with few citations. We test the agreed-on rule on authorship and contribution and find distinguishable relation in past and recent publications in physics. Abstract: A nearly universal trend in science today is the prominence of ever-increasing collaborative teams. Hence, identifying the relative credit due to each collaborator of published studies is of high significance. Although numerous methods have been employed to address this issue, allocating credit to all co-authors of new papers remains challenging. To address this cold-start issue, we introduce a credit allocation algorithm based on the co-citing network that captures the co-authors' shared credit of a multi-authored publication. Using the American Physical Society publication data, we validate the method by examining papers by Nobel laureates. Accordingly, we perform many experiments to demonstrate that the proposed method can be implemented on academic papers in any period after publication with a significantly higher degree of accuracy and robustness than the existing algorithms applied to new papers. This method enables us to explore the universal credit evolution pattern of scientific elites. Importantly, by testing the relation between an author's credit and authorship byline, we observe that the first authors of papers are currently assigned less credit than in the early days with respect to physics. With collaboration and a large team set to dominate the agenda of the current science system, our study provides a more effective method for allocating early credit to co-authors of a paper, which may be beneficial to various academic activities, including faculty hiring, funding, and promotion decisions.