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Seasonal Entropy, Diversity and Inequality Measures of Submitted and Accepted Papers Distributions in Peer-Reviewed Journals
- Source :
- Entropy, Volume 21, Issue 6, Entropy, Vol 21, Iss 6, p 564 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- This paper presents a novel method for finding features in the analysis of variable distributions stemming from time series. We apply the methodology to the case of submitted and accepted papers in peer-reviewed journals. We provide a comparative study of editorial decisions for papers submitted to two peer-reviewed journals: the Journal of the Serbian Chemical Society (JSCS) and this MDPI Entropy journal. We cover three recent years for which the fate of submitted papers&mdash<br />about 600 papers to JSCS and 2500 to Entropy&mdash<br />is completely determined. Instead of comparing the number distributions of these papers as a function of time with respect to a uniform distribution, we analyze the relevant probabilities, from which we derive the information entropy. It is argued that such probabilities are indeed more relevant for authors than the actual number of submissions. We tie this entropy analysis to the so called diversity of the variable distributions. Furthermore, we emphasize the correspondence between the entropy and the diversity with inequality measures, like the Herfindahl-Hirschman index and the Theil index, itself being in the class of entropy measures<br />the Gini coefficient which also measures the diversity in ranking is calculated for further discussion. In this sample, the seasonal aspects of the peer review process are outlined. It is found that the use of such indices, non linear transformations of the data distributions, allow us to distinguish features and evolutions of the peer review process as a function of time as well as comparing the non-uniformity of distributions. Furthermore, t- and z-statistical tests are applied in order to measure the significance (p-level) of the findings, that is, whether papers are more likely to be accepted if they are submitted during a few specific months or during a particular &ldquo<br />season&rdquo<br />the predictability strength depends on the journal.
- Subjects :
- FOS: Computer and information sciences
Physics - Physics and Society
Inequality
media_common.quotation_subject
FOS: Physical sciences
General Physics and Astronomy
lcsh:Astrophysics
Physics and Society (physics.soc-ph)
050905 science studies
Article
Gini coefficient
Chemical society
diversity index
Theil index
lcsh:QB460-466
Econometrics
Entropy (information theory)
Digital Libraries (cs.DL)
Predictability
lcsh:Science
GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
Statistical hypothesis testing
Mathematics
media_common
seasons
05 social sciences
Computer Science - Digital Libraries
lcsh:QC1-999
lcsh:Q
0509 other social sciences
050904 information & library sciences
Herfindahl-Hirschman index
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 10994300
- Database :
- OpenAIRE
- Journal :
- Entropy
- Accession number :
- edsair.doi.dedup.....6d9fe0381c2a4a45c663debb9d6ff709
- Full Text :
- https://doi.org/10.3390/e21060564