Textual analysis and scientometric mapping of the dynamic knowledge in and around the IFSA community

Farming Systems Research into the 21st Century: The New Dynamic

Volumn , Issue , 2012, Pages 73-94

  Barbier, Marc ^a   Bompart, Marianne ^b   Garandel Batifol, Véronique ^b   Mogoutov, Andréi ^c  

^a University ofParis Est   (France)

^b CEMAGREF   (France)

^c IFRIS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL RESEARCH; CO-WORD ANALYSIS; FARMING SYSTEM; SCIENTOMETRICS; TEXTUAL ANALYSIS; WEB OF KNOWLEDGE;

EID: 84894258553     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-94-007-4503-2_4     Document Type: Chapter

References (31)

1. Barbier, M. (2010). The ecologization of agricultural development and the treadmill of sustainable development, a critique in a state of transition. Przeglad Socjologiczny (Sociological Review), 59, 9-28.
2. Barbier, M., Frangois-Moll, F., Vichnevskaia, T., and Mogoutov, A. (2008, April 8). Figures de la “soutenabilite” dans des bases de donnees scientifiques du “Web of Science”. Exploration et discussion de traitements scientometriques. Presentation at the Seminar ‘Changement clima-tique, expertise et fabrications du futur: Modeles et scenarios, politique et gouvernance’ held in Paris.
3. Bourret, P., Mogoutov, A., Julian-Reynier, C., and Cambrosio, A. (2006). A new clinical collective for French cancer genetics a heterogeneous mapping analysis. Science, Technology and Human Values, 31, 431-464.
4. Callon, M., Courtial, J. P., Turner, W. A., and Bauin, S. (1983). From translations to problematic networks: An introduction to co-word analysis. Social Science Information, 22, 191-235.
5. Callon, M., Law, J., and Rip, A. (1986). Mapping the dynamics of science and technology. London: Macmillan.
6. Cambrosio, A., Keating, P., and Mogoutov, A. (2004). Mapping collaborative work and innovation in biomedicine: A computer assisted analysis of antibody reagent workshops. Social Studies of Science, 34, 325-364.
7. Cambrosio, A., Keating, P., Mercier, S., Lewisonc, G., and Mogoutov, A. (2006). Mapping the emergence and development of translational cancer research. European Journal of Cancer, 24, 3140-3148.
8. Cambrosio, A., Cotterau, P., Popowycz, S., Mogoutov, A., and Vichnevskaia, T. (2010). Analysis of heterogenous networks: The ReseauLu project. In C. Brossaud and B. Reber (Eds.), Digital cognitive technologies. Epistemology and knowledge society (pp. 137-152). London: ISTE/Wiley.
9. Chavalarias, D., and Cointet, J. P. (2008). Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study. Scientometrics, 75, 37-50.
10. Ding, Y., and Foo, S. (2002). Ontology research and development. A review of ontology mapping and evolving. Part 1. Journal of Information Science, 28, 123-136.
11. Granjou, C., and Barbier, M. (2010). Les metamorphoses de l’expertise. Versailles: Qum.
12. Jones, D. S., Cambrosio, A., and Mogoutov, A. (2011). Detection and characterization of translational research in cancer and cardiovascular medicine. Journal of Translational Medicine, 9, 57 [http://www.translational-medicine.com/content/9/1/57].
13. Latour, B., et Fabbri, P. (1977). Pouvoir et devoir dans un article de science exacte, Actes de la Recherche en Sciences Sociales, 13, 81-95.
14. Law, J., Bauin, S., and Courtial J.P.(1988). Policy and the mapping of scientific change: a co-word analysis of research into environmental acidification, Scientometrics,14, 3-4, 251-264.
15. Leydesdorff, L., and Hellsten, I. (2006). Measuring the meaning of words in contexts: An automated analysis of controversies about ‘Monarch butterflies’, ‘Frankenfoods’, and ‘stem cells’. Scientometrics, 67, 231-258.
16. Lucio-Arias, D., and Leydesdorff, L. (2007). Knowledge emergence in scientific communication: From ‘fullerenes’ to ‘nanotubes’. Scientometrics, 70, 603-632.
17. Mogoutov, A., and Kahane, B. (2007). Data search strategy for science and technology emergence: A scalable and evolutionary query for nanotechnology tracking, Research Policy, 36, 6, 893-903
18. Noyons, E. (2001). Bibliometric mapping of science in a policy context. Scientometrics, 50, 83-98.
19. Ollivier, G., and Bellon, S. (2010, February 24-26). Scientometric mapping of agroecology: Looking for a legend? In: P. Stassart and P. Baret (Eds.), The potential of agroecology to contribute to ecological transitions in agriculture. Proceedings of an EU Exploratory Workshop held in Arlon, Belgium.
20. Powell, W. W., White, D. R., Koput, K. W., and Owen-Smith, J. (2005). Network dynamics and field evolution: The growth of interorganizational collaboration in the life sciences. American Journal of Sociology, 110, 901-975.
21. Reinert, M. (1990). ALCESTE, une methodologie d’analyse des donnees textuelles et une application: Aurelia de Gerard de Nerval. Bulletin de Methodologie Sociologique, 26, 24-54.
22. Roth, C., and Cointet, J.-P. (2010). Social and semantic coevolution in knowledge networks. Social Networks, 32, 16-29.
23. Sarawagi, S. (2008). Information extraction. Foundations and Trends in Databases, 1, 261-377.
24. Small, H. (1973). Co-citation in scientific literature: A new measure of the relationship between publications. Journal of the American Society for Information Science, 24, 265-269.
25. Taramasco, C., Cointet, J.-P., and Roth, C. (2010). Academic team formation as evolving hypergraphs. Scientometrics, 85, 721-740.
26. Tari, T., Breucker, P., and Barbier, M. (2010). Characterising the localisation of projects collaborations in research dynamics: Methodological requirements and results for new visualisations of heterogeneous neWorks. In Proceedings of the ENID Conference Held in Paris, 2010.
27. Turenne, N., and Barbier, M. (2004). BELUGA: Un outil pour l’analyse dynamique des connais-sances de la litterature scientifique d’un domaine. Premiere application au cas des maladies a prions. In G. Hebrail and L. Lebart (Eds.), Proceedings of extraction et gestion de connaissances, Clermont-Ferrand, France.
28. Uschold, M., and Gruninger, M. (1996). Ontologies: Principles, methods and applications. Knowledge Engineering Review, 11, 93-136.
29. Vanloqueren, G., and Baret, P. (2009). How agricultural research systems shape a technological regime that develops genetic engineering but locks out agroecological innovations. Research Policy, 38, 971-983.
30. Wezel, A., and Soldat, V. (2009). A quantitative and qualitative historical analysis of the scientific discipline of agroecology. International Journal of Agricultural Sustainability, 7, 3-18.
31. Zitt, M., and Bassecoulard, L. (2005). Reassessment of co-citation methods for science indicators: Effect of methods improving recall rates. Scientometrics, 37, 223-244.