Study of Diffusion of the Subject ‘Anthropocene’ over Different Disciplines: Quantitative Analysis by a New Indicator
DOI:
https://doi.org/10.17821/srels/2025/v62i4/171801Keywords:
Allied Subjects, Anthropocene, APUPA Pattern, Core Subjects, Knowledge Organisation, Publication Fall Index (PFI)Abstract
This study applies S.R. Ranganathan’s APUPA (Alien-Penumbral-Umbral-Penumbral-Alien) pattern to classify research in the Anthropocene, an interdisciplinary field addressing human impact on Earth’s systems. The study introduces the Publication Fall Index (PFI) as a quantitative tool to distinguish between core and allied subjects, examining shifts in research focus over four periods: 2001-2005, 2006-2010, 2011-2015, and 2016-2020. Using bibliographic data from the Scopus database, the analysis identifies key subject areas like Earth and Planetary Sciences, Environmental Science, and Social Sciences while observing the rise of allied fields such as Engineering and Biochemistry. The methodology integrates the APUPA pattern with the PFI to map the evolution of core subjects, applying a structured framework for analysing the prominence and decline of research topics. The findings reveal significant shifts, particularly the increasing importance of technological fields such as Engineering from 2011-2020, highlighting the growing intersection between technology and environmental studies. This study’s originality lies in its contemporary application of Ranganathan’s traditional classification system, demonstrating its adaptability to modern, interdisciplinary research. The combination of APUPA and PFI provides valuable insights into subject diffusion within the Anthropocene, offering a robust methodology for navigating complex academic fields in the digital age.
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References
Bianchini, C., Giusti, L., & Gnoli, C. (2017). The APUPA bell curve: Ranganathan’s visual pattern for knowledge organisation. Les Cahiers du Numérique, 13(1), 49-68. https://doi.org/10.3166/lcn.13.1.49-68
Bianchini, C. (2024). Ranganathan’s legacy in Italy (2009-2023). Annals of Library and Information Studies, 71(1), 78-91.
Dutta, B. (2023). Citation Fall Index (CFI): An indicator to measure the centripetal nature of accretion of citations. Journal of Information and Knowledge, 60(6), 355-359. https://doi.org/10.17821/srels/2023/v60i6/171122
Giri, R. (2019). Influence of selected factors in journals’ citations. Aslib Journal of Information Management, 71(1), 90-104. https://doi.org/10.1108/AJIM-07-2017-0170
Giusti, L. (2018, July 9-11). The Penumbra-line: Ranganathan’s journeys and the genesis of the APUPA pattern. Challenges and Opportunities for Knowledge Organization in the Digital Age: Proceedings of the Fifteenth International ISKO Conference, Porto (pp. 380-391). https://doi.org/10.5771/9783956504211-380
Latour, B. (2017). Anthropology at the time of the Anthropocene: A personal view of what is to be studied. The anthropology of sustainability: Beyond development and progress (p. 35-49). https://doi.org/10.1057/978-1-137-56636-2_2
Lewis, S. L., & Maslin, M. A. (2015). Defining the Anthropocene. Nature, 519(7542), 171-180. https://doi.org/10.1038/nature14258 PMid:25762280
Mohan, M. (2003). Likeness between Ranganathan’s postulation-based approach to knowledge classification and entity-relationship data modeling approach. Knowledge Organisation, 30(1), 1-19.
Neelameghan, A. (2000). S. R. Ranganathan’s impact on knowledge organisation tools. Information Studies, 6(2), 77-80.
Neelameghan, A. (2002). Classification in the digital environment. Information Studies, 8(1), 1-8.
Panigrahi, P. K. (2000). An artificial intelligence approach towards automatic classification (Part I). IASLIC Bulletin, 45(2), 73-81.
Parthasarathy, S. (1957). Colon classification in retrospect. Annals of Library and Information Studies, 4(1), 13-18.
Paul, S. (2024). Diffusion of multifaceted concepts over the universe of subject: Design of an analytical model, [Doctoral dissertation, Vidyasagar University].
Ranganathan, S. R. (1955). Depth classification 8: Documentation work and abstract classification. Annals of Library and Information Studies, 2(1), 1-12.
Ranganathan, S. R. (1958). Library system and increasing purpose. Libri, 7(2-3), 121-144. https://doi.org/10.1515/ libr.1958.7.1-4.121
Satija, M. P. (2001). Relationships in Ranganathan’s Colon Classification. Relationships in the Organization of Knowledge (pp. 199-210). Springer Netherlands, Dordrecht. https://doi.org/10.1007/978-94-015-9696-1_13
Satija, M. P., & Singh, J. (2013). Colon Classification: A requiem. DESIDOC Journal of Library and Information Technology, 33(4), 265-276.
Satija, M. P., & Singh, J. (2017). Colon Classification (CC). Knowledge Organisation, 44(4), 291-307. https://doi.org/10.5771/0943-7444-2017-4-291
Steffen, W., Grinevald, J., Crutzen, P., & McNeill, J. (2011). The Anthropocene: Conceptual and historical perspectives. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 369(1938), 842-867. https://doi.org/10.1098/rsta.2010.0327 PMid:21282150
Subbarao, C. V. (1966). Nemesis overtakes subject approach in the stock. Herald of Library Science, 8(1), 135-140.