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    <title>PyPI recent updates for embedding-disruptiveness</title>
    <link>https://pypi.org/project/embedding-disruptiveness/</link>
    <description>Recent updates to the Python Package Index for embedding-disruptiveness</description>
    <language>en</language>    <item>
      <title>2.0.0</title>
      <link>https://pypi.org/project/embedding-disruptiveness/2.0.0/</link>
      <description>A Python package to calculate the disruption index and embedding disruptiveness measure using a citation network.</description>
<author>munjkim@iu.edu, skojaku@binghamton.edu</author>      <pubDate>Tue, 31 Mar 2026 20:13:55 GMT</pubDate>
    </item>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/embedding-disruptiveness/1.0.0/</link>
      <description>A Python package to calculate the disruption index and embedding disruptiveness measure using a citation network.</description>
<author>munjkim@iu.edu, skojaku@binghamton.edu</author>      <pubDate>Tue, 26 Nov 2024 06:18:20 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/embedding-disruptiveness/0.1.2/</link>
      <description>A Python package to calculate the disruption index and embedding disruptiveness measure using a citation network.</description>
<author>munjkim@iu.edu, skojaku@binghamton.edu</author>      <pubDate>Mon, 25 Nov 2024 14:19:56 GMT</pubDate>
    </item>  </channel>
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