https://github.com/sandialabs/easee

A repository for demonstration code to identify appropriate graph interval sizes from communication streams.
https://github.com/sandialabs/easee

data-science graphs python sampling scr-2509 snl-data-analysis

Last synced: about 1 month ago
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A repository for demonstration code to identify appropriate graph interval sizes from communication streams.

• Host: GitHub
• URL: https://github.com/sandialabs/easee
• Owner: sandialabs
• License: bsd-3-clause
• Created: 2021-04-26T20:29:58.000Z (about 5 years ago)
• Default Branch: main
• Last Pushed: 2022-07-01T18:05:24.000Z (about 4 years ago)
• Last Synced: 2025-03-01T00:25:52.335Z (over 1 year ago)
• Topics: data-science, graphs, python, sampling, scr-2509, snl-data-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 25.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# 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.