Dynamic Network Plaid
Dynamic Network Plaid
复制标题
动态网络格子
DOI：
10.1145/3290605.3300360
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Lee A
中科院分区：
文献类型：
--
作者：
Lee A
随着时间变化的网络数据对于研究一系列重要现象非常有用，从社会网络连接如何变化到流行病学。然而，分析它是具有挑战性的，特别是如果它有许多参与者、连接，或者如果覆盖的时间跨度很大，并且有快速变化的链接（例如，几个月的变化和第二个分辨率的变化）。在这些分析中，人们通常喜欢将许多时期与其他时期进行比较，而不必查看整个时间线。为了支持这种分析，我们设计并实现了一种技术和系统来可视化这些动态数据。动态网络格子（DNP）是为大型显示而设计的，它基于用户生成的动态图形属性的交互式时间切片和链接的溯源保存表示。我们与一组公共卫生研究人员一起展示了技术、界面和设计/评估，这些研究人员正在调查Instagram上的非自杀式自残图片分享。
Network data that changes over time can be very useful for studying a wide range of important phenomena, from how social network connections change to epidemiology. However, it is challenging to analyze, especially if it has many actors, connections or if the covered timespan is large with rapidly changing links (eg, months of changes with changes at second resolution). In these analyses one would often like to compare many periods of time to others, without having to look at the full timeline. To support this kind of analysis we designed and implemented a technique and system to visualize this dynamic data. The Dynamic Network Plaid (DNP) is designed for large displays and based on user-generated interactive timeslicing on the dynamic graph attributes and on linked provenance-preserving representations. We present the technique, interface and the design/evaluation with a group of public health researchers investigating non-suicidal self-harm picture sharing in Instagram.