互动性
计算机科学
讲故事
数据科学
感知
可视化
人机交互
万维网
数据挖掘
叙述的
语言学
生物
哲学
神经科学
作者
Thomas Cowhitt,Toby Greany,Christopher Downey
标识
DOI:10.1177/16094069231189369
摘要
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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