Farming Systems Research Into the 21st Century: The New Dynamic 2012
DOI: 10.1007/978-94-007-4503-2_4
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Textual analysis and scientometric mapping of the dynamic knowledge in and around the IFSA community

Abstract: This communication proposes to depict the dynamic of the conceptual area of IFSA, and to bring a support to a discussion about the future of the IFSA community. It presents the results of a textual and scientometric analysis of the descriptors and concepts of the IFSA community. A general view of the knowledge of the community is delivered on the basis of the data mining of the corpus built up with the communications of the 6 previous IFSA Symposia. The empirical study details the key concepts and domains of i… Show more

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Cited by 17 publications
(14 citation statements)
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“…The data was processed using the CorText platform [21], which allowed us to build co-occurrence maps. These maps were constructed by using specific algorithms that associate entities (names of research institutions and most frequent terms) according to their frequency of cooccurrence within a chosen corpus of texts [22]. In our analysis, the corpus consisted of a set of scientific publications.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The data was processed using the CorText platform [21], which allowed us to build co-occurrence maps. These maps were constructed by using specific algorithms that associate entities (names of research institutions and most frequent terms) according to their frequency of cooccurrence within a chosen corpus of texts [22]. In our analysis, the corpus consisted of a set of scientific publications.…”
Section: Discussionmentioning
confidence: 99%
“…We inferred that the most frequently connected multi-terms corresponded to those research topics and methodologies that define the prevailing HBMS research agenda. As explained by Barbier et al [22], "co-word analysis maps various types of associations between terms that ontologically represent the textual strategizing of authors is a method that extracts data from texts without presumptions about their content". For the same reasons explained above, we also used chisquare to determine the edges of the multi-terms' network maps and the Louvain algorithm to detect clusters.…”
Section: Plos Onementioning
confidence: 99%
“…If we observe a generally good participation during the symposiums, the permanent involvement of the younger scientists in exchanges and actions is less constant. Although no specific measuring has been done for these networks, such a reality is coherent with the results of Barbier et al (2008) showing (for an other network) that only 5% of the authors of the IFSA 2 symposiums have produced 36% of the communication 3 and wondering if the IFSA network is a real community. In the case of the FAO -CIHEAM network on sheep and goats, the number of members has increased from 192 (Morand-Fehr et al, 1996) to 225 in 2008 but with less permanent active participation.…”
Section: Discussion and Conclusion : Present Organization Present DImentioning
confidence: 57%
“…The data were processed using the CorText platform [21], which allowed us to build co-occurrence maps by using specific algorithms that associate entities according to their frequency of co-occurrence within a chosen corpus of texts [22]. In our case, the corpus consisted of a CONICET scientific publications’ set, and we analyzed the prevailing content of the research included in it, proxying CONICET’s HBMS research agenda.…”
Section: Methodsmentioning
confidence: 99%