{"id":583,"date":"2022-05-07T20:28:34","date_gmt":"2022-05-08T00:28:34","guid":{"rendered":"https:\/\/malat-webspace.royalroads.ca\/rru0268\/?p=583"},"modified":"2022-05-08T13:32:32","modified_gmt":"2022-05-08T17:32:32","slug":"visual-network-mapping","status":"publish","type":"post","link":"https:\/\/malat-webspace.royalroads.ca\/rru0268\/visual-network-mapping\/","title":{"rendered":"Visual Network Mapping"},"content":{"rendered":"\n<p class=\"feature-caption\">Image by <a href=\"https:\/\/www.flickr.com\/photos\/pagedooley\/\">Kevin Dooley<\/a> on <a rel=\"noreferrer noopener\" href=\"https:\/\/www.flickr.com\/creativecommons\/by-2.0\/\" target=\"_blank\">Flickr<\/a> CC2.0<\/p>\n\n\n<style>\n       .errordiv { padding:10px; margin:10px; border: 1px solid #555555;color: #000000;background-color: #f8f8f8; width:500px; }#advanced_iframe {visibility:visible;opacity:1;vertical-align:top;}.ai-info-bottom-iframe { position: fixed; z-index: 10000; bottom:0; left: 0; margin: 0px; text-align: center; width: 100%; background-color: #ff9999; padding-left: 5px;padding-bottom: 5px; border-top: 1px solid #aaa } a.ai-bold {font-weight: bold;}#ai-layer-div-advanced_iframe p {height:100%;margin:0;padding:0}<\/style><script type=\"text\/javascript\">var ai_iframe_width_advanced_iframe = 0;var ai_iframe_height_advanced_iframe = 0;var aiOnloadScrollTop=\"true\";var aiShowDebug=false;\n\t\tif (typeof aiReadyCallbacks === 'undefined') {\n\t\t\tvar aiReadyCallbacks = [];\n\t\t} else if (!(aiReadyCallbacks instanceof Array)) {\n\t\t\tvar aiReadyCallbacks = [];\n\t\t}    function aiShowIframeId(id_iframe) { jQuery(\"#\"+id_iframe).css(\"visibility\", \"visible\");    }    function aiResizeIframeHeight(height) { aiResizeIframeHeight(height,advanced_iframe); }    function aiResizeIframeHeightId(height,width,id) {aiResizeIframeHeightById(id,height);}<\/script><iframe id=\"advanced_iframe\"  name=\"advanced_iframe\"  src=\"https:\/\/flo.uri.sh\/visualisation\/9850566\/embed\"  width=\"100%\"  height=\"600\"  frameborder=\"0\"  border=\"0\"  allowtransparency=\"true\"  loading=\"lazy\"  style=\";border-width: 0px;;border: none;;width:100%;;height:600px;\" ><\/iframe><script type=\"text\/javascript\">var ifrm_advanced_iframe = document.getElementById(\"advanced_iframe\");var hiddenTabsDoneadvanced_iframe = false;\nfunction resizeCallbackadvanced_iframe() {}<\/script><script type=\"text\/javascript\"><\/script><p style=\"display:block !important; visibility:visible !important;margin: -18px 14px 0 0;padding-left: 3px;padding-top:3px;background: white; overflow: hidden; position: relative; line-height:15px;width: fit-content;\"><small style=\"display:block !important;visibility:visible !important\">powered by Advanced iFrame<\/small><\/p>\n\n\n<p class=\"centred-caption\"><a href=\"https:\/\/public.flourish.studio\/visualisation\/9850566\/\" target=\"_blank\" rel=\"noreferrer noopener\">View full-size at flourish.studio \u2924<\/a><\/p>\n\n\n\n<p class=\"first\">In this exercise, the goal is to visualize our network, that identifies where we are, and how we are situated. After trying several data visualization tools and charting strategies, I opted for a chart showing a hierarchy of organization and role, displayed as a radial chart. These are all first-degree connections, with myself positioned at the central axis of the network. This represents a first-person view outward at my connections in a community of learning professionals.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data source<\/h3>\n\n\n\n<p>The first task was to determine what the source would be for mapping my learning network. In examining the online networks already mapped out in my Digital Identity and Presence analysis, it seemed the most logical network to investigate further would be my LinkedIn connections. <\/p>\n\n\n\n<p>My 538 first-degree connections on LinkedIn span several career phases, and connections across my design, consulting, and education activities. I narrowed this down to 61 connections, who either work directly in primary, secondary, or post-secondary education in some capacity, or have a learning role in an organization where learning is a growth and development function, not a primary offering.<\/p>\n\n\n\n<p>Onto that, I also mapped my new MALAT cohort contacts.<\/p>\n\n\n\n<p>I categorized each individual by title\/role, and their organization, removing individual names from the map, as I felt they were not necessary level of detail for how I wanted to visualize and map out the data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Data Organization Strategy<\/h3>\n\n\n\n<p>The raw data export from LinkedIn was more limited than I anticipated, and the only fields available were name, title, organization, and the date connected. Shared contacts, shared past employers, education history, and other common touchpoints were not a part of the data export, which meant I had to consider the narrative I was able to build from the available data, without going through a time-consuming process to manually reconstruct more elaborate data linkages for all these contacts.<\/p>\n\n\n\n<p>This seemed like a good opportunity to apply Richard Saul Wurman&#8217;s LATCH organization principle. (Wurman, 1997) In his pioneering work, Wurman suggests that there are five primary ways to organize information: by <strong>L<\/strong>ocation, <strong>A<\/strong>lphabet, <strong>T<\/strong>ime, <strong>C<\/strong>ategory, and <strong>H<\/strong>ierarchy. These principles may be used alone or in combination to organize information for understanding.<\/p>\n\n\n\n<p>For the purposes of this exercise, and the data available to me, I opted to use Hierarchy and Category. Secondary sorting is also alphabetical, for no other reason than to give the reader a frame of reference for how the data was configured.<\/p>\n\n\n\n<p>I decided to first link my connections to their employer\/institution\/organization. By doing this, I could then see <em>where<\/em> in my network my connections were concentrated, and then who works where, and what their job titles\/roles are.<\/p>\n\n\n\n<p>The additional layer I added into the data hierarchy was also identifying those in my network who are in my RRU-MALAT cohort, as well as my professors who are now LinkedIn connections. This was interesting, as it also showed the people in my network who are in the <em>Master of Arts \u2013 Learning and Technology<\/em> program, but may not necessarily have &#8220;learning&#8221; or some other obvious education-derived title. <\/p>\n\n\n\n<p>Because this information map would also appear on a publicly-accessible blog post, I also made it a priority to anonymize the data, as there was not sufficient time to secure consent from all parties. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Visualization Approach<\/h3>\n\n\n\n<p>I explored several different data visualization tools, starting with Microsoft Excel and Google Sheets. These seemed somewhat lacking in their affordances for mapping out more complex data networks.<\/p>\n\n\n\n<p>Next, I explored the possibility of using NodeXL, or Kumu, as suggested in the activity brief. <a rel=\"noreferrer noopener\" href=\"https:\/\/nodexl.com\" target=\"_blank\">NodeXL<\/a> is a Windows-only plug-in for Microsoft Excel, which was unfortunately eliminated for me as a Mac user. I tried out <a rel=\"noreferrer noopener\" href=\"https:\/\/kumu.io\" target=\"_blank\">Kumu<\/a>, which seemed to have great potential, but I was not able to get my data formatted in a way that produced a coherent map. I also tried an open-source app called <a rel=\"noreferrer noopener\" href=\"https:\/\/cytoscape.org\" target=\"_blank\">Cytoscape<\/a>, which proved to be somewhat confounding to use. The last avenue I explored was <a rel=\"noreferrer noopener\" href=\"https:\/\/flourish.studio\" target=\"_blank\">Flourish<\/a>, which has a wide array of visualization options, and I was able to get my data to work.<\/p>\n\n\n\n<p>Since my data set did not include interconnections and mutual links between my contacts, I found most &#8220;network map&#8221; charting topologies didn&#8217;t give me acceptable results. Going through my curated contacts and adding all of the mutual connections may have added some additional detail, but the manual process of going through all 61 connections would have taken additional time. <\/p>\n\n\n\n<p>The &#8220;Hierarchy&#8221; maps offered by Flourish presented some interesting potential. Because I wanted to show organization and then job title\/role groupings, three options seemed like good candidates, Radial, Circles, and Sunburst.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Radial<\/h4>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"796\" height=\"915\" data-src=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.57.36-PM.png\" alt=\"\" class=\"wp-image-584 lazyload\" data-srcset=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.57.36-PM.png 796w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.57.36-PM-261x300.png 261w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.57.36-PM-768x883.png 768w\" data-sizes=\"(max-width: 796px) 100vw, 796px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 796px; --smush-placeholder-aspect-ratio: 796\/915;\" \/><figcaption>Flourish \u201cRadial\u201d Chart, showing organization, job title\/role, and numbers, which are illustrated by size, in radial bar format.<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>The Radial chart type was promising, in that it showed a web-like linking pattern from the central focal area (which represents the author), but many organization names were truncated, and was also very text-heavy and not particularly visual.<\/p>\n\n\n\n<p>Since the goal was to design for understanding, this chart type seemed lacking.<\/p>\n\n\n\n<p>One feature of Flourish that was very easy to use was the ability to format data groupings using custom colour palettes. Most of the major organizations in the chart are identified using their actual brand colours.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Circles<\/h4>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"793\" height=\"914\" data-src=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-7.29.23-PM.png\" alt=\"\" class=\"wp-image-588 lazyload\" data-srcset=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-7.29.23-PM.png 793w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-7.29.23-PM-260x300.png 260w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-7.29.23-PM-768x885.png 768w\" data-sizes=\"(max-width: 793px) 100vw, 793px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 793px; --smush-placeholder-aspect-ratio: 793\/914;\" \/><figcaption>Flourish \u201cCircles\u201d Chart, showing organization, title\/role, and numbers, which are illustrated by circle size. Changing the default sort to \u201cValue\u201d clustered the organizations with the most connections in the centre, with smaller organizations around the periphery.<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>The Circles chart type was getting more promising, with much greater visual presence and impact. <\/p>\n\n\n\n<p>However, two things about this chart did not sit right with me:<\/p>\n\n\n\n<p>First, it placed even greater importance on the organizations with more connections, and although the size dominance is an inherent part of the hierarchical nature of the chart, the relegation of smaller organizations to the periphery seemed like it was minimizing their presence a bit too much.<\/p>\n\n\n\n<p>Second, the central connection between all of these organizations was not entirely clear. They seemed to be drawn together merely by force of gravity, rather than arranged around a central focal point, which is me, sitting at the \u201chub\u201d of my network.<\/p>\n<\/div>\n<\/div>\n\n\n\n<h4 class=\"wp-block-heading\">Sunburst<\/h4>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"797\" height=\"917\" data-src=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.56.19-PM.png\" alt=\"\" class=\"wp-image-587 lazyload\" data-srcset=\"https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.56.19-PM.png 797w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.56.19-PM-261x300.png 261w, https:\/\/malat-webspace.royalroads.ca\/rru0268\/wp-content\/uploads\/sites\/250\/2022\/05\/Screen-Shot-2022-05-07-at-6.56.19-PM-768x884.png 768w\" data-sizes=\"(max-width: 797px) 100vw, 797px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 797px; --smush-placeholder-aspect-ratio: 797\/917;\" \/><figcaption>Flourish \u201cSunburst\u201d Chart, with the inner ring showing organization (organized alphabetically), and the outer ring showing job title\/role, with number illustrated by a larger proportional slice of the ring.<\/figcaption><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<p>The Sunburst chart seemed like the best balance of features and functionality to make my learning network most easily seen and understood. <\/p>\n\n\n\n<p>The inner ring is the organizations, arranged alphabetically, clockwise, starting at the top, with the size of each circle segment proportional to the number of individuals in my network who are in a learning role, a MALAT student, faculty member, or alumni. Principal brand colour for the organization is used to colour-code them.<\/p>\n\n\n\n<p>Clicking an organization name brings up a detailed view of the breakdown of the number of individuals with each title\/role. <\/p>\n\n\n\n<p>Applying a filter also enables the viewer to see MALAT Students, Faculty, and Alumni.  <\/p>\n\n\n\n<p>(One unfortunate limitation is that only one column of data could be used for the filtering, so although one faculty member is also an alumnus, the ability to show that contact in both Faculty and Alumni categories was limited by the software.)<\/p>\n<\/div>\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\">Conclusion<\/h3>\n\n\n\n<p>I could go into a great deal more detail with the mapping exercise, and may still explore this concept further, building out a more robust data set, and tinkering with the interface to reveal even more insights about the nature of my network(s). <\/p>\n\n\n\n<p>Given the time constraints, new tools, and limited data set available to me, I feel this does do a good job in representing my learning network as a hierarchy. With more time available to invest, I would be very interested in mapping out a much more layered and interconnected (and possibly three-dimensional) map that would be perhaps even closer to the model I see in my head.<\/p>\n\n\n\n<hr class=\"wp-block-separator\" \/>\n\n\n\n<h4 class=\"wp-block-heading\">References<\/h4>\n\n\n<div id=\"zotpress-0ef2f013ac751ee3ef528a308b55de92\" class=\"zp-Zotpress zp-Zotpress-Bib wp-block-group\">\n\n\t\t<span class=\"ZP_API_USER_ID ZP_ATTR\">9359367<\/span>\n\t\t<span class=\"ZP_ITEM_KEY ZP_ATTR\">{9359367:VIAU3JLV}<\/span>\n\t\t<span class=\"ZP_COLLECTION_ID ZP_ATTR\"><\/span>\n\t\t<span class=\"ZP_TAG_ID ZP_ATTR\"><\/span>\n\t\t<span class=\"ZP_AUTHOR ZP_ATTR\"><\/span>\n\t\t<span class=\"ZP_YEAR ZP_ATTR\"><\/span>\n        <span class=\"ZP_ITEMTYPE ZP_ATTR\"><\/span>\n\t\t<span class=\"ZP_INCLUSIVE ZP_ATTR\">1<\/span>\n\t\t<span class=\"ZP_STYLE ZP_ATTR\">apa<\/span>\n\t\t<span class=\"ZP_LIMIT ZP_ATTR\">50<\/span>\n\t\t<span class=\"ZP_SORTBY 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S. (1997). Introduction. In P. Bradford (Ed.), <i>Information Architects<\/i> (p. 17). 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