Grouse: feature-based, steerable graph hierarchy exploration

摘要: Grouse is a feature-based approach to steerable exploration of graph and an associated hierarchy. Steerability allows begin immediately, rather than requiring costly layout the entire as initial step. In approach, subgraph inside metanode hierarchy laid out with well- chosen algorithm appropriate for its topological structure. preserves input hierarchy, which provides meaningful information user when metanodes correspond features interest. When in opened, limited number are again along path between opened node root. We demonstrate effectiveness on datasets from IMDB, Internet Movie Database, where nodes actors cliques represent movies. The combination relayout computation does not fragment improves levels that can be seen at once over previous approaches.