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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">1832</journal-id>
      <journal-title-group>
        <journal-title>Journal of Cultural Analytics</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2371-4549</issn>
      <publisher>
        <publisher-name>Center for Digital Humanities, Princeton University</publisher-name>
      </publisher>
      <self-uri xlink:href="https://culturalanalytics.org/">Website: Journal of Cultural Analytics</self-uri>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">11071</article-id>
      <article-id pub-id-type="doi">10.22148/16.013</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Data Set</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Migrant Letter Digitised: Visualising Metadata</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>O’Leary</surname>
            <given-names>Niall</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Moreton</surname>
            <given-names>Emma</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2017-03-28">
        <day>28</day>
        <month>3</month>
        <year>2017</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection" iso-8601-date="2021-05-03">
        <year>2017</year>
      </pub-date>
      <volume>2</volume>
      <issue seq="2">1</issue>
      <issue-title>Articles in 2017</issue-title>
      <elocation-id>11071</elocation-id>
      <permissions>
        <license license-type="open-access">
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">
              http://creativecommons.org/licenses/by/4.0
            </ali:license_ref>
          <license-p>
              This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">Creative Commons Attribution License (4.0)</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
            </license-p>
        </license>
      </permissions>
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      <abstract>
        <p>Within the digital humanities, social network analysis - using digital technologiesto examine the relationship between people, places and things - has explored awide range of digital communication formats, from emails to tweets. This hasbeen made possible because of the large amount of online digital data and hasspawned many new techniques specifically aimed at analysing very large datasets,often termed Big Data.</p>
      </abstract>
      <kwd-group>
        <kwd>immigration</kwd>
        <kwd>history</kwd>
        <kwd>correspondence</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
