Yoghourdjian Vahan, Dwyer Tim, Klein Karsten, Marriott Kim, Wybrow Michael
IEEE Trans Vis Comput Graph. 2018 Dec;24(12):3081-3095. doi: 10.1109/TVCG.2018.2790961. Epub 2018 Jan 8.
We propose Graph Thumbnails, small icon-like visualisations of the high-level structure of network data. Graph Thumbnails are designed to be legible in small multiples to support rapid browsing within large graph corpora. Compared to existing graph-visualisation techniques our representation has several advantages: (1) the visualisation can be computed in linear time; (2) it is canonical in the sense that isomorphic graphs will always have identical thumbnails; and (3) it provides precise information about the graph structure. We report the results of two user studies. The first study compares Graph Thumbnails to node-link and matrix views for identifying similar graphs. The second study investigates the comprehensibility of the different representations. We demonstrate the usefulness of this representation for summarising the evolution of protein-protein interaction networks across a range of species.
我们提出了图形缩略图，即网络数据高层结构的小图标式可视化表示。图形缩略图设计为可在多个小图中清晰显示，以支持在大型图形语料库中快速浏览。与现有的图形可视化技术相比，我们的表示具有几个优点：（1）可视化可以在线性时间内计算；（2）从同构图形将始终具有相同缩略图的意义上来说，它是规范的；（3）它提供了有关图形结构的精确信息。我们报告了两项用户研究的结果。第一项研究将图形缩略图与节点链接视图和矩阵视图进行比较，以识别相似的图形。第二项研究调查了不同表示的可理解性。我们展示了这种表示对于总结一系列物种中蛋白质-蛋白质相互作用网络进化的有用性。
