In this module we will be taking a very high-level view to social network analysis, we talk about how connectivity creates a certain type of space, or what we call a topology that stretches and distorts our traditional conception of linear space. We discuss how reasoning about the general forces that are acting on the network can help us in providing some overall context to our analysis. We then go on to talk about some of the primary considerations to a social network's overall makeup and social cohesion, touching upon the topics of network density, clustering, average path length and degree distribution
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<bdo lang="en" dir="ltr"><a href="//commons.wikimedia.org/wiki/Commons:YouTube_files" title="Commons:YouTube files">YouTube</a>: <a rel="nofollow" class="external text" href="https://www.youtube.com/watch?v=0v01ASNsaTU"><bdi lang="">Social Complexity 10: Social Network Science</bdi></a> – View/save archived versions on <a rel="nofollow" class="external text" href="https://web.archive.org/web/*/https://www.youtube.com/watch?v=0v01ASNsaTU">archive.org</a> and <a rel="nofollow" class="external text" href="https://archive.today/https://www.youtube.com/watch?v=0v01ASNsaTU">archive.today</a></bdo>