Collective credit allocation in science
arXiv:1408.3455 · doi:10.1073/pnas.1401992111
Abstract
Collaboration among researchers is an essential component of the modern scientific enterprise, playing a particularly important role in multidisciplinary research. However, we continue to wrestle with allocating credit to the coauthors of publications with multiple authors, since the relative contribution of each author is difficult to determine. At the same time, the scientific community runs an informal field-dependent credit allocation process that assigns credit in a collective fashion to each work. Here we develop a credit allocation algorithm that captures the coauthors' contribution to a publication as perceived by the scientific community, reproducing the informal collective credit allocation of science. We validate the method by identifying the authors of Nobel-winning papers that are credited for the discovery, independent of their positions in the author list. The method can also compare the relative impact of researchers working in the same field, even if they did not publish together. The ability to accurately measure the relative credit of researchers could affect many aspects of credit allocation in science, potentially impacting hiring, funding, and promotion decisions.
7 pages, 4 figures, 1 table, appears in Proceedings of the National Academy of Sciences of the United States of America, 2014
References in corpus (16)
- Electric Field Effect in Atomically Thin Carbon Films
- Emergence of scaling in random networks
- Statistical mechanics of complex networks
- An index to quantify an individual's scientific research output
- Link communities reveal multiscale complexity in networks
- Does the h-index have predictive power?
- Quantifying Long-Term Scientific Impact
- Citation Statistics from 110 Years of Physical Review
- Diffusion of scientific credits and the ranking of scientists
- Scaling laws of human interaction activity
- Quantitative and empirical demonstration of the Matthew effect in a study of career longevity
- How citation boosts promote scientific paradigm shifts and Nobel Prizes
- Modeling and Predicting Popularity Dynamics via Reinforced Poisson Processes
- Universality of scholarly impact metrics
- Modeling the clustering in citation networks
- Universal hierarchical behavior of citation networks
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- The advantages of interdisciplinarity in modern science
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