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    <identifier>10.11922/sciencedb.j00053.00017</identifier>
    <datestamp>2022-03-18T14:42:14Z</datestamp>
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  <dc:date>2022-03-18</dc:date>
  <dc:title>Patent Cooperation Data of Intelligent Connected Vehicle Industry</dc:title>
  <dc:identifier>doi:10.11922/sciencedb.j00053.00017</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This paper uses the &amp;quot;incoPat&amp;quot; patent retrieval platform as the data source to retrieve the patent data applied by the innovative entities in the intelligent network automobile industry from 1985 to 2021, and uses the social network analysis method to build a patent cooperation network. and other indicators to measure and analyze the evolution of the patent cooperation network in the intelligent networked automobile industry. Finally, a total of 8084 pieces of patent information were retrieved. After screening and cleaning, 478 pieces of cooperative patent data that met the conditions were finally obtained.</dc:description>
  <dc:subject>Intelligent connected car; social network; patent cooperation network</dc:subject>
  <dc:creator>liu yan wen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
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  <dc:relation>http://www.doi.org/10.16507/j.issn.1006-6055.2022.03.002</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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