合作网络中基于主题的成功分数对作者姓名消歧高度敏感
Motif-based success scores in coauthorship networks are highly sensitive to author name disambiguation
摘要：
根据Krumov等人的工作[Eur.物理学杂志B 84，535（2011）]，我们重新审视的问题是否使用大型引文数据集允许定量评估社会（通过合著的出版物）对科学进步的影响。应用一个更全面和精心策划的数据集，其中包含整个20世纪美国物理学会期刊上的出版物，我们发现，在原始研究中选择的措施，基于小诱导子图的分数，必须谨慎使用，因为所获得的结果对作者消歧任务的准确实施高度敏感。
英文摘要：
Following the work of Krumov et al. [Eur. Phys. J. B 84, 535 (2011)] we revisit the question whether the usage of large citation datasets allows for the quantitative assessment of social (by means of coauthorship of publications) influence on the progression of science. Applying a more comprehensive and well-curated dataset containing the publications in the journals of the American Physical Society during the whole 20th century we find that the measure chosen in the original study, a score based on small induced subgraphs, has to be used with caution, since the obtained results are highly sensitive to the exact implementation of the author disambiguation task.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
