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Khasawneh-Lab/PH_complex_networks: PHN

Audun Myers; Firas Khasawneh; Elizabeth Munch


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{
  "description": "<p>Persistent Homology of Networks (PHN) is a python package for the functions developed in &quot;Persistent Homology of Complex Networks for Dynamic State Detection.&quot; These functions use a time series to develop a complex network, which can be analyzed to detect dynamic state changes as well as complexity changes in the time series. Additionally, complex networks allow for a unique view into the shape of high dimension embedding that could not normally be visualized.</p>", 
  "license": "", 
  "creator": [
    {
      "affiliation": "Michigan State University", 
      "@id": "https://orcid.org/0000-0001-6268-9227", 
      "@type": "Person", 
      "name": "Audun Myers"
    }, 
    {
      "affiliation": "Michigan State University", 
      "@id": "https://orcid.org/0000-0001-7817-7445", 
      "@type": "Person", 
      "name": "Firas Khasawneh"
    }, 
    {
      "affiliation": "Michigan State University", 
      "@id": "https://orcid.org/0000-0002-9459-9493", 
      "@type": "Person", 
      "name": "Elizabeth Munch"
    }
  ], 
  "url": "https://zenodo.org/record/3731096", 
  "codeRepository": "https://github.com/Khasawneh-Lab/PH_complex_networks/tree/V1.0.0", 
  "datePublished": "2020-03-27", 
  "version": "V1.0.0", 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3731096", 
  "@id": "https://doi.org/10.5281/zenodo.3731096", 
  "@type": "SoftwareSourceCode", 
  "name": "Khasawneh-Lab/PH_complex_networks: PHN"
}
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