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{"id":631,"date":"2018-11-01T00:41:58","date_gmt":"2018-11-01T00:41:58","guid":{"rendered":"https:\/\/jnichols-blog.jnichols.catapult.bates.edu\/?p=35"},"modified":"2018-11-01T00:41:58","modified_gmt":"2018-11-01T00:41:58","slug":"insignificant-data-significant-conclusions","status":"publish","type":"post","link":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/2018\/11\/01\/insignificant-data-significant-conclusions\/","title":{"rendered":"Insignificant Data, Significant Conclusions"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Something I found interesting about the article \u201cUsing Metadata to Find Paul Revere\u201d was how metadata can be used not to show minute details, but rather to show more sweeping relationships of a social network. Metadata seems to be used to make more broad thematic connections between various things, like people and the organizations they were involved in, in the this particular article. Another thing I found interesting was how conclusions drawn from using metadata, in this specific instance, uses \u201cno actual conversations\u201d or transcribed meetings. It can take very general information and use it to come to significant conclusions. This seems especially important in areas where specific information may be difficult to come by, which is often the case with less important historical cases. <\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">J-OS also mentioned the fact that these small pieces of data that may seem very basic can actually be extremely useful in creating a visual of social networks and their connections between people. It can draw valid conclusions and help to understand who the protagonists are in a vast social network. <\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Something I found interesting about the article &ldquo;Using Metadata to Find Paul Revere&rdquo; was how metadata can be used not to show minute details, but rather to show more sweeping relationships of a social network. Metadata seems to be used&#8230; <a href=\"https:\/\/jnichols-blog.jnichols.catapult.bates.edu\/reading-responses\/insignificant-data-significant-conclusions\/\"> Continue Reading&hellip;<\/a><\/p>\n","protected":false},"author":184,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,11],"tags":[],"class_list":["post-631","post","type-post","status-publish","format-standard","hentry","category-class","category-reading-responses"],"_links":{"self":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/631","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/users\/184"}],"replies":[{"embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/comments?post=631"}],"version-history":[{"count":3,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/631\/revisions"}],"predecessor-version":[{"id":1357,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/posts\/631\/revisions\/1357"}],"wp:attachment":[{"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/media?parent=631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/categories?post=631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/courses.shroutdocs.org\/dcs104-fall2018\/wp-json\/wp\/v2\/tags?post=631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}