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内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Allmandring 19 D-70569 Stuttgart Germany
出 版 物:《JOURNAL OF VISUALIZATION》 (显形杂志)
年 卷 期:2017年第20卷第3期
页 面:461-469页
核心收录:
学科分类:1002[医学-临床医学] 07[理学] 0812[工学-计算机科学与技术(可授工学、理学学位)] 0702[理学-物理学]
主 题:Dynamic graph visualization Graph visualization Graph visual metaphors Graph algorithms Graph layouts
摘 要:Visualizing dynamic graphs is challenging due to the many data dimensions to be displayed such as graph vertices and edges with their attached weights or attributes and the additional time dimension. Moreover, edge directions with multiplicities and the graph topology are also important inherent features. However, in many dynamic graph visualization techniques each graph in a sequence is treated the same way, i.e., it is visually encoded in the same visual metaphor or even in the same layout. This visualization strategy can be problematic if the graphs are changing topologically over time, i.e., if a sparse graph becomes denser and denser over time or a star pattern is changing into a dense cluster of connected vertices. Such a dynamic graph data scenario demands for a visualization approach which is able to adapt the applied visual metaphor to each graph separately. In this paper we describe the dynamic graph wall to solve this problem by using multiple visual metaphors for dynamic graphs which are computed automatically by algorithms analysing each individual graph based on a given repertoire of graph features. The biggest issue in this technique for the graph dynamics, however, is the preservation of the viewer s mental map at metaphor changes, i.e., to guide him through the graph changes with the goal to explore the data for time-varying patterns. To reach this goal we support the analyst by an interactive highlighting feature but we also display graphs in comparative metaphor rows to visually investigate the commonalities and differences over time.