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Several graph visualization tools exist. However, they are not able to handlelarge graphs, and/or they do not allow interaction. We are interested on largegraphs, with hundreds of thousands of nodes. Such graphs bring two challenges:the first one is that any straightforward interactive manipulation will beprohibitively slow. The second one is sensory overload: even if we could plotand replot the graph quickly, the user would be overwhelmed with the vastvolume of information because the screen would be too cluttered as nodes andedges overlap each other. GMine system addresses both these issues, by usingsummarization and multi-resolution. GMine offers multi-resolution graphexploration by partitioning a given graph into a hierarchy ofcom-munities-within-communities and storing it into a novel R-tree-likestructure which we name G-Tree. GMine offers summarization by implementing aninnovative subgraph extraction algorithm and then visualizing its output.

GMine: A System for Scalable, Interactive Graph Visualization and Mining