Dataset Open Access

DATABASE: Electric Vehicle, Battery and Smart Grid patent citation networks and main paths.

Andrea Ferloni


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        <foaf:name>Andrea Ferloni</foaf:name>
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    <dct:title>DATABASE: Electric Vehicle, Battery and Smart Grid patent citation networks and main paths.</dct:title>
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    <dcat:keyword>Patent networks</dcat:keyword>
    <dcat:keyword>Main path analysis</dcat:keyword>
    <dcat:keyword>Electric Vehicle</dcat:keyword>
    <dcat:keyword>Battery</dcat:keyword>
    <dcat:keyword>Smart Grid</dcat:keyword>
    <dcat:keyword>Transitions</dcat:keyword>
    <dcat:keyword>Geography</dcat:keyword>
    <dcat:keyword>Urban</dcat:keyword>
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    <dct:description>&lt;p&gt;This dataset comprises the original patent citation networks that were created to calculate&amp;nbsp;the main citation paths for the technologies of Electric Vehicle, Battery and Smart Grid.&lt;/p&gt; &lt;p&gt;For each technology (1- Electric Vehicle, 2- Battery, 3- Smart Grid), four outputs are provided:&lt;/p&gt; &lt;p&gt;a- Patent extraction: USPTO patents filtered by IPC or CPC and found in the Triadic Patent Families database (OECD, 2021)&amp;nbsp;&amp;nbsp;&lt;/p&gt; &lt;p&gt;b- Full nodes and links reconstructed by following patent citations through a snowball method&amp;nbsp;(until no further patents found)&lt;/p&gt; &lt;p&gt;c- Filtered nodes and links according to keywords&lt;/p&gt; &lt;p&gt;d- Main path nodes and links (with citation weights).&lt;/p&gt; &lt;p&gt;For a detailed explanation of the methodology please refer to the submitted paper:&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Transitions as a coevolutionary process: the urban emergence of electric vehicle inventions&lt;/strong&gt;&lt;/p&gt;</dct:description>
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