A sociogram is worth a thousand words: proposing a method for the visual analysis of narrative data.
This article proposes an innovative method for the visual analysis of narrative data that involves three steps: transforming narrative data into relational data, creating two-mode networks displayed with graph optimization algorithms derived from social network analysis (SNA), and visually analyzing...
| Publicado en: | Qualitative Research Vol. 18; no. 1; pp. 70 - 88 |
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| Autores principales: | , , , |
| Formato: | tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Feb2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=127562545&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 127562545 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14687941 NLI jtl: Qualitative Research issn: 14687941 maglogo: Y pubinfo: dt: Feb2018 vid: 18 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 127562545 127562545 127562545 10.1177/1468794116682823 127562545 ppf: 70 ppct: 18 formats: tig: atl: A sociogram is worth a thousand words: proposing a method for the visual analysis of narrative data. aug: au: Contandriopoulos, Damien Larouche, Catherine Breton, Mylaine Brousselle, Astrid affil: University of Montreal, Canada sug: subj: Narratives Data Analysis Methods Health Care Delivery Canada Canada Social Networks Coding ab: This article proposes an innovative method for the visual analysis of narrative data that involves three steps: transforming narrative data into relational data, creating two-mode networks displayed with graph optimization algorithms derived from social network analysis (SNA), and visually analyzing sociograms. We argue that understanding how actors and their opinions constitute a network-like structure opens up promising avenues for interpreting data. This approach provides powerful data visualization that facilitates inductive identification of the underlying structure of narrative data. It also reveals the complexities of the links between differently positioned actors in a structure that a personal attribute-based analytical method might overlook. Lastly, it can be productively combined with other quantitative and qualitative methods to make sense of narrative data. pubtype: Academic Journal doctype: tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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