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    <title>CSCL on Bodong Chen</title>
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      <title>Network Motifs as Codes</title>
      <link>https://bchen.net/blog/2022-06-07-ssn-motifs/</link>
      <pubDate>Tue, 07 Jun 2022 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;I&amp;rsquo;ve been working on a framework of applying socio-semantic network analysis to discourse data.&lt;/p&gt;&#xA;&lt;p&gt;Socio-semantic networks are &lt;em&gt;two-mode&lt;/em&gt;, &lt;em&gt;dual-layer&lt;/em&gt; networks that are made of actors (e.g., learners), semantic entities (e.g., words), and their relations. Socio-semantic network analysis brings together the study of relations among actors (human networks), relations among semantic elements (semantic networks), and relations among these two orders of networks (Basov et al., 2020). Such a dual-layer network analysis approach is not only useful for examining the duality of socio-semantic relations, it also applies to other settings such as socio-ecological analysis that&amp;rsquo;s interested in the interactions between social structures and ecological resources (Bodin &amp;amp; Tengö, 2012).&lt;/p&gt;</description>
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