NetworkNarratives: Data Tours for Visual Network Exploration and Analysis
NetworkNarratives: Data Tours for Visual Network Exploration and Analysis
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DOI：
10.1145/3544548.3581452
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发表时间：
2023-03
期刊：
影响因子：
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通讯作者：
Wenchao Li;Sarah Schöttler;James Scott-Brown;Yun Wang;Siming Chen;Huamin Qu;Benjamin Bach
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作者：
Wenchao Li;Sarah Schöttler;James Scott-Brown;Yun Wang;Siming Chen;Huamin Qu;Benjamin Bach
本文介绍了半自动数据漫游，以辅助复杂网络的探索。探索网络需要大量的努力和专业知识，而且可能既耗时又具有挑战性。与视觉分析的指导和推荐系统不同，我们提供了一套面向目标的导游，用于网络概述、自我网络分析、社区探索和其他任务。根据对五位网络分析师的采访，我们开发了一个用户界面(NetworkNarrative)和10个示例旅游。该界面允许分析师浏览交互式幻灯片，使用可视化和文本注释展示有关网络的事实。在每张幻灯片上，分析师可以自由探索网络并指定节点、链接或子图作为后续巡视的种子元素。包括8名专家和14名新手分析师的两项研究表明，数据之旅减少了探索工作，支持了对网络探索的学习，并可以帮助传播分析结果。NetworkNarrative在线提供，每一次参观都有详细的插图。
This paper introduces semi-automatic data tours to aid the exploration of complex networks. Exploring networks requires significant effort and expertise and can be time-consuming and challenging. Distinct from guidance and recommender systems for visual analytics, we provide a set of goal-oriented tours for network overview, ego-network analysis, community exploration, and other tasks. Based on interviews with five network analysts, we developed a user interface (NetworkNarratives) and 10 example tours. The interface allows analysts to navigate an interactive slideshow featuring facts about the network using visualizations and textual annotations. On each slide, an analyst can freely explore the network and specify nodes, links, or subgraphs as seed elements for follow-up tours. Two studies, comprising eight expert and 14 novice analysts, show that data tours reduce exploration effort, support learning about network exploration, and can aid the dissemination of analysis results. NetworkNarratives is available online, together with detailed illustrations for each tour.