Motif-based success scores in coauthorship networks are highly sensitive to author name disambiguation

David F. Klosik, Stefan Bornholdt, Marc-Thorsten Hütt

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.

Knowledge Graph

arrow_drop_up

Comments

Sign up or login to leave a comment