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Comparative study on the obsolescence of humanities and social sciences in China: under the new situation of web

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  • Yanhui Song

    (Hangzhou Dianzi University)

  • Feng Ma

    (Anhui Agricultural University)

  • Siluo Yang

    (Wuhan University)

Abstract

With the study on 2,217,047 references of 280,280 source articles in Chinese Social Science Citation Index in year 2006–2008, we discovered the overall aging phenomenon of humanities and social sciences by means of synchronous citation analysis, and compared the aging law of seven disciplines. The results reveal that the aging speed of seven disciplines roughly descend as follows: Management, Economics, Education, Law, Literature, Philosophy, History. This is due to the reasons that the aging speed of humanities is slower than social sciences and the dependence of History and Philosophy on archival literature is the strongest. Moreover, each discipline of humanities and social sciences follows a basic function: half life (H) × Price Index (P) = constant C, C is 2.6 or so. Furthermore, the maximum citation age of humanities and social sciences at this stage is found to be about 3 years.

Suggested Citation

  • Yanhui Song & Feng Ma & Siluo Yang, 2015. "Comparative study on the obsolescence of humanities and social sciences in China: under the new situation of web," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 365-388, January.
  • Handle: RePEc:spr:scient:v:102:y:2015:i:1:d:10.1007_s11192-014-1410-8
    DOI: 10.1007/s11192-014-1410-8
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    References listed on IDEAS

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    1. L. Egghe, 1997. "Price index and its relation to the mean and median reference age," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 48(6), pages 564-573, June.
    2. Danny P. Wallace, 1986. "The relationship between journal productivity and obsolescence," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 37(3), pages 136-145, May.
    3. George A. Barnett & Edward L. Fink, 2008. "Impact of the internet and scholar age distribution on academic citation age," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(4), pages 526-534, February.
    4. Virgil Diodato & Fran Smith, 1993. "Obsolescence of music literature," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 44(2), pages 101-112, March.
    5. Ming‐Yueh Tsay, 1998. "Library journal use and citation half‐life in medical science," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(14), pages 1283-1292.
    6. S. L. Sangam, 1999. "Obsolescence of literature in the field of psychology," Scientometrics, Springer;Akadémiai Kiadó, vol. 44(1), pages 33-46, January.
    7. Alexander Sandison, 1974. "Densities of use, and absence of obsolescence, in physics journals at M I T," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 25(3), pages 172-182, May.
    8. Usha Gupta, 1990. "Obsolescence of physics literature: Exponential decrease of the density of citations to Physical Review articles with age," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 41(4), pages 282-287, June.
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