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Editorial process in scientific journals: analysis and modeling

Author

Listed:
  • O. Mryglod

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine)

  • Yu. Holovatch

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine)

  • I. Mryglod

    (Institute for Condensed Matter Physics of the National Academy of Sciences of Ukraine)

Abstract

The editorial handling of articles in scientific journals as a human activity process is considered. Using recently proposed approaches of human dynamics theory we examine the probability distributions of random variables reflecting the temporal characteristics of studied processes. The first part of this article contains our results of analysis of the real data about articles published in scientific journals. The second part is devoted to modeling of time-series connected with editorial work. The purpose of our study is to present new object that can be studied in terms of human dynamics theory and to corroborate the scientometrical application of the results obtained.

Suggested Citation

  • O. Mryglod & Yu. Holovatch & I. Mryglod, 2012. "Editorial process in scientific journals: analysis and modeling," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(1), pages 101-112, April.
    • Handle: RePEc:spr:scient:v:91:y:2012:i:1:d:10.1007_s11192-011-0536-1
    DOI: 10.1007/s11192-011-0536-1
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    References listed on IDEAS

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    1. Johansen, Anders, 2004. "Probing human response times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 338(1), pages 286-291.
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    Cited by:

    1. Zhang, Sheng-Tai & Yuan, Hao-Yu & Duan, Ling-Li, 2020. "Analysis of human behavior statistics law based on WeChat Moment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    2. Agnieszka Geras & Grzegorz Siudem & Marek Gagolewski, 2022. "Time to vote: Temporal clustering of user activity on Stack Overflow," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(12), pages 1681-1691, December.

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