用网络讲故事:通过定性数据的整合实现网络图的解释潜力

IF 3.9 2区 社会学 Q1 SOCIAL SCIENCES, INTERDISCIPLINARY
Thomas Cowhitt, T. Greany, Christopher Downey
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引用次数: 1

摘要

网络可视化很诱人,但似乎很难解释。本文演示了将定性数据集成到交互式网络图中的几种策略,目的是提供有关参与者及其关系的上下文信息。其结果是一种新的联合显示,称为“叙述网络图”(NND)。NND的开发旨在使网络可视化成为报告研究结果的更可靠的工具,特别是对于将社交网络分析工具集成到多方法和混合方法研究设计中的研究人员来说。到目前为止,研究人员主要使用交互性来支持对各种规模的大型网络的探索性分析。然而,通过将大量文本隐藏在节点和边缘中作为工具提示,或者通过在图例、标题和字幕中描绘额外数据,也可以使用交互性来集成各种形式的数据,而不会牺牲感知效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Storytelling With Networks: Realizing the Explanatory Potential of Network Diagrams Through the Integration of Qualitative Data
Network visualizations are alluring yet deceptively difficult to interpret. This article demonstrates several strategies for integrating qualitative data into interactive network diagrams for the purposes of providing contextual information about actors and their relationships. The result is a new joint display called a Narrated Network Diagram (NND). The development of NNDs aims to make network visualizations more reliable tools for reporting research findings, especially for researchers integrating Social Network Analysis tools into multi- and mixed-methods research designs. Until now, researchers primarily use interactivity to support exploratory analysis of large networks at various scales. However, interactivity can also be used to integrate diverse forms of data without sacrificing perceptual efficiency by essentially hiding significant amounts of text within nodes and edges as tooltips or by delineating additional data within legends, titles, and subtitles.
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来源期刊
International Journal of Qualitative Methods
International Journal of Qualitative Methods SOCIAL SCIENCES, INTERDISCIPLINARY-
CiteScore
6.90
自引率
11.10%
发文量
139
审稿时长
12 weeks
期刊介绍: Journal Highlights Impact Factor: 5.4 Ranked 5/110 in Social Sciences, Interdisciplinary – SSCI Indexed In: Clarivate Analytics: Social Science Citation Index, the Directory of Open Access Journals (DOAJ), and Scopus Launched In: 2002 Publication is subject to payment of an article processing charge (APC) Submit here International Journal of Qualitative Methods (IJQM) is a peer-reviewed open access journal which focuses on methodological advances, innovations, and insights in qualitative or mixed methods studies. Please see the Aims and Scope tab for further information.
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