Abstract
Using the proceedings of six European IFSA Symposia, we analysed the themes that were central in these Symposia as well as trends from a number of papers and authors. We then assessed the wider domain of agricultural research based on a corpus extracted from the CAB and SCI databases of the Web of Knowledge. The co-word analysis allows the generation of maps which graphically represent how keywords are linked, and allows the identification of thematic clusters. The dynamic of keywords in the period 1991–2007 was also analysed, thus allowing the identification of keywords which were of central importance during different periods. This showed how themes such as sustainability emerged, disappeared and re-emerged under different guises. The various analyses are provided to further the reflexivity of the IFSA community, especially regarding its publication practices and thus its efforts to make results from Farming Systems Research more widely available.
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Notes
- 1.
See the web page http://www.image-zafar.com/english/index_alceste.htm
- 2.
This interpretative work is also benefiting from an access to main repeated utterances of short expression that the software is proposing.
- 3.
The mapping of authorship of the FSR domain is available at http://ifsa.boku.ac.at/cms/fileadmin/Books/2008_BarbierGarandel.pdf. The map is too large to be included in this text.
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Acknowledgements
We thank especially Benoit Dedieu, Bernard Hubert and Marianne Cerf for their availability in the hectic times of their own activities. We also want to thank Jean-Marc Meynard, the Head of the SAD Department of INRA, who brought a financial support to this research. Thanks also to those who proposed comments and critics during the Clermont-Ferrand symposium, and to the Board of IFSA, which has welcome the results of this research. We would like to thank Ika Darnhofer for her careful editorial work, which considerably helped to clarify the presentation of our work. The final thank you is for Jean-Philippe Cointet, who does a lot to design new algorithms and methodology of visualising graphs like in the Map 4.2.
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Barbier, M., Bompart, M., Garandel-Batifol, V., Mogoutov, A. (2012). Textual analysis and scientometric mapping of the dynamic knowledge in and around the IFSA community. In: Darnhofer, I., Gibbon, D., Dedieu, B. (eds) Farming Systems Research into the 21st Century: The New Dynamic. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4503-2_4
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