Utilising social network research in the qualitative exploration of gamblers' social relationships
Utilising social network research in the qualitative exploration of gamblers' social relationships
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DOI：
10.1177/1468794117710323
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发表时间：
2018-04-01
影响因子：
3.6
通讯作者：
McConville, Susan
中科院分区：
文献类型：
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作者：
Dobbie, Fiona;Reith, Gerda;McConville, Susan
社会网络分析（SNA）经常被批评为过于关注定量，网络科学家评论说缺乏定性研究人员的参与。本文将有助于这些辩论批判性地反思赌博的定性研究，社会网络的研究方法进行了调整，并应用于叙事访谈。为23名参与者创建了以自我为中心的社交图（使用名称生成问题和同心圆的参与者社交网络的地图）。这些社交图被用作一种互动工具，并添加了彩色点，以激发讨论，从而生成关于赌博行为对参与者更广泛的社交网络影响的丰富的叙事和视觉数据。这一方法是对以前没有使用过的现有国民账户体系方法的扩展。
Social Network Analysis (SNA) is often criticised for being too quantitative in focus and network scientists have commented on a lack of engagement from qualitative researchers. This article will contribute to these debates by critically reflecting on a qualitative study of gambling where social network research methods were adapted and applied to narrative interviews. Egocentric sociograms (maps of participant social networks, using a name generation question and concentric circles) were created for 23 participants. These sociograms were used as an interactive tool, with the addition of coloured dots, to stimulate discussion and so generate rich narrative and visual data on the impacts of gambling behaviour on participants' wider social networks. This approach represents an extension to existing SNA methods that has not previously been utilised.