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Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties.

08:00 EDT 10th October 2019 | BioPortfolio

Summary of "Same Stats, Different Graphs: Exploring the Space of Graphs in Terms of Graph Properties."

Data analysts commonly utilize statistics to summarize large datasets. While it is often sufficient to explore only the summary statistics of a dataset (e.g., min/mean/max), Anscombe's Quartet demonstrates how such statistics can be misleading. We consider a similar problem in the context of graph mining. To study the relationships between different graph properties and summary statistics, we examine low-order non-isomorphic graphs and provide a simple visual analytics system to explore correlations across multiple graph properties. However, for larger graphs, studying the entire space quickly becomes intractable. We use different random graph generation methods to further look into the distribution of graph properties for higher order graphs and investigate the impact of various sampling methodologies. We also describe a method for generating many graphs that are identical over a number of graph properties and statistics yet are clearly different and identifiably distinct.

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This article was published in the following journal.

Name: IEEE transactions on visualization and computer graphics
ISSN: 1941-0506
Pages:

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