{"id":925,"date":"2016-04-17T19:22:34","date_gmt":"2016-04-17T23:22:34","guid":{"rendered":"https:\/\/eiq.knx.mybluehost.me\/website_78d26930\/bigdatacourse?p=925"},"modified":"2016-04-17T19:22:34","modified_gmt":"2016-04-17T23:22:34","slug":"social-network-analysis-3","status":"publish","type":"post","link":"https:\/\/jjsylvia.com\/bigdatacourse\/social-network-analysis-3\/","title":{"rendered":"Social Network Analysis"},"content":{"rendered":"<p>Modern marketing for films often involves utilizing social media, particularly Twitter, to reach a wide audience.\u00a0 One way to engage a larger number of potential consumers is to create a hashtag and encourage its use in a particular way.\u00a0 The upcoming Marvel film\u00a0<em>Captain America: Civil War<\/em>\u00a0is currently utilizing this exact marketing method on Twitter by encouraging the use of one of two hashtags: \u201c#TeamCap\u201d or \u201c#TeamIronMan\u201d.\u00a0 Not only do these two hashtags encourage involvement by consumers, they also help to specifically market the movie, the plot of which involves pitting those two characters against one another.\u00a0 This social network analysis looks at the relationships between and among some of those users who tweeted using one or both of these hashtags.<\/p>\n<p>This social network analysis is comprised of a sample size of 2,000 tweets taken on March 21, 2016 from 1,642 Twitter users; it should be noted, therefore, that many users tweeted using one or the other of these hashtags multiple times.\u00a0 This analysis focuses on tweets that have either or both of \u201c#TeamCap\u201d and \u201c#TeamIronMan\u201d as either hashtags or mentions.\u00a0 Each point on the graph represents a single Twitter account. The graph is formatted in the Harel-Koren Fast Multiscale format, and is directed, meaning that all points are directed by arrows towards the source of the original tweet.\u00a0 Lines between each user\u2019s tweet represent follows, replies, or mentions between users. Self-loops, of which there are 224, represent tweets that are connected to themselves, likely retweets.\u00a0 Blue lines represent tweets that featured only the hashtag #TeamCap; red lines represent tweets that featured only the hashtag #TeamIronMan; and gray lines represent tweets that either used both hashtags or otherwise did not indicate a preference towards one or the other.<\/p>\n<p>Several interesting conclusions can be drawn from the social network graph.\u00a0 First, it can be seen that the hashtag #TeamCap had a much larger number of lines than did the hashtag #TeamIronMan.\u00a0 However, #TeamIronMan featured a much denser network, which can be seen from the few clusters of lines that exist on the graph; where #TeamCap was made up almost entirely of independent relationships, #TeamIronMan was almost entirely made up of connected users.\u00a0 In general, however, the network had a very low density (roughly 0.0004).\u00a0 This indicates that even though many users retweeted or responded to an earlier tweet, a large number of the Twitter users who utilized these hashtags were doing so independently, and not in direct relation to any other user.<\/p>\n<p><a href=\"https:\/\/jjsylvia.com\/bigdatacoursewp-content\/uploads\/2016\/04\/SocialNet.png\"><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-926 aligncenter\" src=\"https:\/\/jjsylvia.com\/bigdatacoursewp-content\/uploads\/2016\/04\/SocialNet-300x225.png\" alt=\"SocialNet\" width=\"538\" height=\"403\" srcset=\"https:\/\/jjsylvia.com\/bigdatacourse\/wp-content\/uploads\/2016\/04\/SocialNet-300x225.png 300w, https:\/\/jjsylvia.com\/bigdatacourse\/wp-content\/uploads\/2016\/04\/SocialNet-768x577.png 768w, https:\/\/jjsylvia.com\/bigdatacourse\/wp-content\/uploads\/2016\/04\/SocialNet-1024x769.png 1024w, https:\/\/jjsylvia.com\/bigdatacourse\/wp-content\/uploads\/2016\/04\/SocialNet.png 1412w\" sizes=\"auto, (max-width: 538px) 100vw, 538px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<p>Statistics-<\/p>\n<ul>\n<li>arianagrande: most followed (67628)<\/li>\n<li>youtube: most followers (60695078)<\/li>\n<li>citaveis: most tweets (354919)<\/li>\n<li>dj_gurj: most favorites (188420)<\/li>\n<li>Self loops are every tweet that is NOT\u00a0a reply\/mention<\/li>\n<li>Tweets in the network were tweeted over a 55 minute period from March 21st, 2016 21:56 UTC to March 21st 2016 22:51 UTC<\/li>\n<li>Vertices: 2046<\/li>\n<li>Unique Edges: 1964<\/li>\n<li>Edges with duplicates: 192<\/li>\n<li>Totals edges: 2156<\/li>\n<li>Self loops: 224<\/li>\n<li>Reciprocated vertex pair ratio: 0.092178649<\/li>\n<li>Reciprocated edge ratio: 0.004347826<\/li>\n<li>Connected components: 283<\/li>\n<li>Single-vertex connected components: 183<\/li>\n<li>Maximum vertices in a connected component: 1578<\/li>\n<li>Maximum edges in a connected component: 1735<\/li>\n<li>Maximum geodesic distance (diameter): 13<\/li>\n<li>Average geodesic distance: 3.395331<\/li>\n<li>Graph density: 0.000439763<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Modern marketing for films often involves utilizing social media, particularly Twitter, to reach a wide audience.\u00a0 One way to engage a larger number of potential consumers is to create a hashtag and encourage its use in a particular way.\u00a0 The upcoming Marvel film\u00a0Captain America: Civil War\u00a0is currently utilizing this exact marketing method on Twitter by<br \/><a class=\"moretag\" href=\"https:\/\/jjsylvia.com\/bigdatacourse\/social-network-analysis-3\/\">+ Read More<\/a><\/p>\n","protected":false},"author":7,"featured_media":926,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-925","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-assignment"],"_links":{"self":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/925","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/comments?post=925"}],"version-history":[{"count":1,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/925\/revisions"}],"predecessor-version":[{"id":929,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/posts\/925\/revisions\/929"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media\/926"}],"wp:attachment":[{"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/media?parent=925"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/categories?post=925"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jjsylvia.com\/bigdatacourse\/wp-json\/wp\/v2\/tags?post=925"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}