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Operationalizing anthropological theory: four techniques to simplify networks of co-occurring ethnographic codes.
Cottica, Alberto; Davidov, Veronica; Góralska, Magdalena; Kubik, Jan; Melançon, Guy; Mole, Richard; Pinaud, Bruno; Szymanski, Wojciech.
Afiliação
  • Cottica A; Edgeryders, Tallinn, Estonia.
  • Davidov V; Edgeryders, Tallinn, Estonia.
  • Góralska M; Monmouth University, West Long Branch, USA.
  • Kubik J; Rutgers University, Newark, USA.
  • Melançon G; University of Warsaw, Warsaw, Poland.
  • Mole R; Rutgers University, Newark, USA.
  • Pinaud B; University College of London, London, UK.
  • Szymanski W; CNRS, Bordeaux INP, LaBRI, UMR 5800, University of Bordeaux, Talence, France.
Appl Netw Sci ; 8(1): 22, 2023.
Article em En | MEDLINE | ID: mdl-37193305
ABSTRACT
The use of data and algorithms in the social sciences allows for exciting progress, but also poses epistemological challenges. Operations that appear innocent and purely technical may profoundly influence final results. Researchers working with data can make their process less arbitrary and more accountable by making theoretically grounded methodological choices. We apply this approach to the problem of simplifying networks representing ethnographic corpora, in the interest of visual interpretation. Network nodes represent ethnographic codes, and their edges the co-occurrence of codes in a corpus. We introduce and discuss four techniques to simplify such networks and facilitate visual analysis. We show how the mathematical characteristics of each one are aligned with an identifiable approach in sociology or anthropology structuralism and post-structuralism; identifying the central concepts in a discourse; and discovering hegemonic and counter-hegemonic clusters of meaning. We then provide an example of how the four techniques complement each other in ethnographic analysis.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Appl Netw Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estônia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Qualitative_research Idioma: En Revista: Appl Netw Sci Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estônia