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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JDS</journal-id>
<journal-title-group><journal-title>Journal of Data Science</journal-title></journal-title-group>
<issn pub-type="epub">1683-8602</issn><issn pub-type="ppub">1680-743X</issn><issn-l>1680-743X</issn-l>
<publisher>
<publisher-name>School of Statistics, Renmin University of China</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JDS1055</article-id>
<article-id pub-id-type="doi">10.6339/22-JDS1055</article-id>
<article-categories><subj-group subj-group-type="heading">
<subject>Data Science in Action</subject></subj-group></article-categories>
<title-group>
<article-title>Motion Picture Editing as a Hawkes Process</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7821-2404</contrib-id>
<name><surname>Redfern</surname><given-names>Nick</given-names></name><email xlink:href="mailto:nickredfernres@outlook.com">nickredfernres@outlook.com</email><xref ref-type="aff" rid="j_jds1055_aff_001">1</xref>
</contrib>
<aff id="j_jds1055_aff_001"><label>1</label><institution>Independent researcher</institution>, <country>United Kingdom</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>∗</label>Email: <ext-link ext-link-type="uri" xlink:href="mailto:nickredfernres@outlook.com">nickredfernres@outlook.com</ext-link>.</corresp>
</author-notes>
<pub-date pub-type="ppub"><year>2023</year></pub-date><pub-date pub-type="epub"><day>7</day><month>7</month><year>2022</year></pub-date><volume>21</volume><issue>1</issue><fpage>43</fpage><lpage>56</lpage><supplementary-material id="S1" content-type="archive" xlink:href="jds1055_s001.zip" mimetype="application" mime-subtype="x-zip-compressed">
<caption>
<title>Supplementary Material</title>
<p>The complete set of results and plots for all 134 films in the sample along with the R code used in this project are available for the reader to explore as a shiny app at <ext-link ext-link-type="uri" xlink:href="https://tinyurl.com/2p8c86u3">https://tinyurl.com/2p8c86u3</ext-link>. The data, code, and results for this article are also available on the supporting GitHub repository at <ext-link ext-link-type="uri" xlink:href="https://github.com/DrNickRedfern/hollywood-hawkes">DrNickRedfern/hollywood-hawkes</ext-link>.</p>
</caption>
</supplementary-material><history><date date-type="received"><day>1</day><month>4</month><year>2022</year></date><date date-type="accepted"><day>20</day><month>6</month><year>2022</year></date></history>
<permissions><copyright-statement>2023 The Author(s). Published by the School of Statistics and the Center for Applied Statistics, Renmin University of China.</copyright-statement><copyright-year>2023</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p></license></permissions>
<abstract>
<p>In this article I analyse motion picture editing as a point process to explore the temporal structure in the timings of cuts in motion pictures, modelling the editing in 134 Hollywood films released between 1935 and 2005 as a Hawkes process with an exponential kernel. The results show that the editing in Hollywood films can be modelled as a Hawkes process and that the conditional intensity function provides a direct description of the instantaneous cutting rate of a film, revealing the structure of a film’s editing at a range of scales. The parameters of the exponential kernel show a clear trend over time to a more rapid editing style with an increase in the rate of exogenous events and small increase in the rate of endogenous events. This is consistent with the shift from a classical to an intensified continuity editing style. There are, however, few differences between genres indicating the consistency of editing practices in Hollywood cinema over time and different types of films.</p>
</abstract>
<kwd-group>
<label>Keywords</label>
<kwd>computational film analysis</kwd>
<kwd>film editing</kwd>
<kwd>Hollywood cinema</kwd>
<kwd>point process</kwd>
<kwd>time series analysis</kwd>
</kwd-group>
</article-meta>
</front>
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