{"id":182,"date":"2021-03-14T17:36:45","date_gmt":"2021-03-15T00:36:45","guid":{"rendered":"https:\/\/blogs.ubc.ca\/scottrichmond\/?p=182"},"modified":"2021-03-14T17:36:45","modified_gmt":"2021-03-15T00:36:45","slug":"task-9-network-analysis","status":"publish","type":"post","link":"https:\/\/blogs.ubc.ca\/scottrichmond\/2021\/03\/14\/task-9-network-analysis\/","title":{"rendered":"Task 9: Network Analysis"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-184 aligncenter\" src=\"https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.34.20-PM.png\" alt=\"\" width=\"533\" height=\"360\" srcset=\"https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.34.20-PM.png 1344w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.34.20-PM-300x203.png 300w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.34.20-PM-1024x692.png 1024w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.34.20-PM-768x519.png 768w\" sizes=\"auto, (max-width: 533px) 100vw, 533px\" \/><\/p>\n<p><span style=\"font-weight: 400;\">This post is the result of the two authors having a phone conversation while trying to digest the network data on Palladio. After some frustrations, we were able to understand what we were looking at and quickly turned toward analysis.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The way the data is presented in Palladio gives very little context on the underlying reasons <\/span><i><span style=\"font-weight: 400;\">why<\/span><\/i><span style=\"font-weight: 400;\"> individuals chose what they chose. The co-authors of this post came to our curation decisions from very different places. One of us chose based on purely auditory aesthetics or pleasingness, whereas the other chose based on an attempt at a maximally diversified spectrum of human musical representation and auditory modes. This makes it very difficult to create any kind of groupings or communities based on common interests or ways of thinking. Based on this kind of selection, how would any algorithm be able to make sense of anything beyond the music selection themselves?\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Google contextualizes searches on two levels:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">1 &#8211; not signed in &#8211; uses location data, session search history, device, operating system, etc. feeding into a set of assumptions which direct the algorithm.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">2 &#8211; signed into a google account &#8211; uses, basically, your entire life.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">We were unable to find a way to group classmates connecting them by what they did NOT choose in common (null commonalities)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This activity was less an activity in choosing the \u201cbest,\u201d but rather eliminating options. All of the music is worth including &#8211; we could have either chosen our favourites OR eliminated options for various reasons. Just as the sort\/web is not able to show WHY we chose our choices, it is unable to resolve why we didn\u2019t choose the ones we omitted.\u00a0<\/span><\/p>\n<p><b>How could one go about trying to suss out motives or commonalities among classmates?\u00a0<\/b><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">We could attempt to categorize the songs by <\/span><b>genre<\/b> <span style=\"font-weight: 400;\">and look at commonalities or diversions.\u00a0<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">folk, classical, etc.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">vocal, instrumental, etc.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">major or minor keys\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Beats per minute or cadence<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">\u201ccivilized\u201d vs. \u201cethnic\u201d or high vs. low technology (I intentionally used obviously massively politically charged language to exemplify that arguably all attempts at genrefication will oversimplify, overgeneralize, and stereotype.)<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">&#8230;Did classmates tend towards selecting within or among common genres or did they share in common the goal of attempting to represent diversity in genres?<\/span><\/p>\n<ol>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">We could also layer in demographic information on the classmates (self-provided or mined from UBC\u2019s student records)<\/span><\/li>\n<\/ol>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Sex or gender could yield interesting data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Age &#8211; was age a significant factor in choice? What if there is a young student in the class who felt that <\/span><i><span style=\"font-weight: 400;\">all <\/span><\/i><span style=\"font-weight: 400;\">of the musical choices were terrible?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Location &#8211; different places in the world appreciate wildly different types of music, e.g to Westerners, the minor scale sounds sad or mysterious, but in southeast Asia, it is the preferred traditional scale.\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Ethnicity<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"2\"><span style=\"font-weight: 400;\">Education<\/span><\/li>\n<\/ul>\n<p><b>Final Thoughts:<\/b><\/p>\n<p><span style=\"font-weight: 400;\">We were both surprised at how few songs we chose in common. Upon discovering this, we immediately engaged in the process of accusing the other of flawed selection reasoning. This highlights that the personal differences in choice were not just due to sociocultural differences but also due to potential interpretations of the assignment (the selection criteria themselves).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">At the end of the day, no matter how we treat the data, the question remains: What does the data actually mean? For instance, is there any relevance to the fact that Chris is one of the only classmates that didn\u2019t choose Johnny B Goode? Perhaps, the quiz could be reconstructed to ask classmates to score songs on a weighted scale, in which students must rate every song on a continuum but only 10 songs allowed the top weighting. There could also be a checkbox for a null choice or songs that classmates explicitly did not want to be included on the Golden Record. While we wouldn\u2019t know why without a text box (and even so, can we ensure honesty or self-knowledge?), it would yield useful data. <\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-183 aligncenter\" src=\"https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM.png\" alt=\"\" width=\"456\" height=\"253\" srcset=\"https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM.png 2006w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM-300x167.png 300w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM-1024x569.png 1024w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM-768x426.png 768w, https:\/\/blogs.ubc.ca\/scottrichmond\/files\/2021\/03\/Screen-Shot-2021-03-14-at-5.32.55-PM-1536x853.png 1536w\" sizes=\"auto, (max-width: 456px) 100vw, 456px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This post is the result of the two authors having a phone conversation while trying to digest the network data on Palladio. After some frustrations, we were able to understand what we were looking at and quickly turned toward analysis.\u00a0 &hellip; <a href=\"https:\/\/blogs.ubc.ca\/scottrichmond\/2021\/03\/14\/task-9-network-analysis\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":18543,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-182","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/posts\/182","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/users\/18543"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/comments?post=182"}],"version-history":[{"count":1,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/posts\/182\/revisions"}],"predecessor-version":[{"id":185,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/posts\/182\/revisions\/185"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/media?parent=182"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/categories?post=182"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.ubc.ca\/scottrichmond\/wp-json\/wp\/v2\/tags?post=182"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}