Abstract

COUTO, Andréa et al. Teacher illness: a semantic network analysis based on graph theory. Psic., Saúde & Doenças [online]. 2019, vol.20, n.3, pp.682-697. ISSN 1645-0086.  https://doi.org/10.15309/19psd200311.

The use of graphs in the social sciences has been increasingly representative, considering that this type of technique makes it possible to study the relationships between various objects or categories. The combined use of graphs with social networks provides an advance in the understanding of social phenomena. The present article aims to present and analyze the relationships found among 45 scientific articles dealing with the illness of the teacher, selected from the literature review technique, as well as the collaboration network between the authors and co - authors of the articles. After the application of the Content Analysis technique, the graphs were constructed with the help of the NodeXL tool, using the categories found in the articles. The variables Teaching Illness and Teaching Health were those that reached a greater degree of centrality in the presented graphs, maintaining connections with other variables such as Quality of Life, Subjectivity, Depression, denoting their importance in the discussions that are being undertaken about the subject investigated, in the relevant literature.

Keywords : teacher; illness; graph theory; semantic networks; content analysis.

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