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A repository for demonstration code to identify appropriate graph interval sizes from communication streams.

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Easee

We present a new technique for identifying appropriate graph snapshots from a stream of communication events. We call this technique EASEE (Edge Advertisements into Snapshots using Evolving Expectations). The main Python codes are available in the central directory for reproducing our synthetic datasets, for running the two parts of the technique.

For an overview of the entire technique with descriptions of how it runs, how to interpret the outputs, etc. please see the notebook located at https://github.com/sandialabs/Easee/blob/main/notebook_demo/EASEE_Demo.ipynb.

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A repository for demonstration code to identify appropriate graph interval sizes from communication streams.

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