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... Based on these analyses, knowledge maps are generated, they are built from the identification of co-occurrence in terms or words. This is a content analysis technique that eases the analysis of relations emerging within the ideas from a specific text [19,20]. In the analysis, main topics from a scientific area are extracted and co-related to determine bonds between them [21] allowing the construction of hierarchies to define central research problems and (smaller) auxiliary areas [22]. ...
... The analysis of thematic approaches in Social Sciences using the keywords of productions (article type) contribute with the detection of important conceptual lines, from which is con- structed a semantic identification map capable of exposing thematic scenarios and the most common and relevant topics of analysis for different disciplines [19][20][21][22]. This is a sciento- metric exercise that leads to the disintegration of a scientific discipline into main areas and sub-areas of knowledge, which allows to understand the main interests in scientific research at a disciplinary level. ...
The purpose of this research was to unveil the structure of knowledge of Social Sciences in Colombia through the analysis of thematic networks and its association with different disciplines' new knowledge production to define scenarios and trends in each. 2992 published articles in the period 2006-2015 were revised in this research, all indexed in Web of Science, Scopus and other bibliographic databases, applying the social networks analysis technique to the keywords of all. The analysis included each discipline's clustering coefficient and group metrics. The results described in this chapter identify how social disciplines in Colombia have mainly focused its research production in topics such as armed conflict, poverty and human development.
