A Sunburst-based hierarchical information visualization method and its application in public opinion analysis

With the rapid growth of hierarchical data in public opinion analysis, users are in urgent need of information visualization techniques to present the data in an intuitive way in order to reveal the characteristics of the data, understand the rules behind the data, and then assist them in decision-making process. This research makes improvement in the display insufficiency of leaf nodes in the radial loop, one representative information visualization technique of hierarchical data, and adopts the Necklace Sunburst algorithm to optimize the overall arrangement via dynamic expansion and contraction of related nodes. This algorithm is applied to the public opinion analysis system. Its application value in the analysis of large-scale public opinion information is illustrated by facts.