{"id":706696,"date":"2020-11-20T11:11:21","date_gmt":"2020-11-20T19:11:21","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-blog-post&p=706696"},"modified":"2020-11-20T11:11:21","modified_gmt":"2020-11-20T19:11:21","slug":"visualizing-the-topic-hierarchy-on-microsoft-academic","status":"publish","type":"msr-blog-post","link":"https:\/\/www.microsoft.com\/en-us\/research\/articles\/visualizing-the-topic-hierarchy-on-microsoft-academic\/","title":{"rendered":"Visualizing the Topic hierarchy on Microsoft Academic"},"content":{"rendered":"
Today we have released a novel way to visualize and explore the topic hierarchy on the Microsoft Academic website.\u00a0 The Microsoft Academic Graph<\/a> (MAG) uses fields of study, exposed as Topics on the Microsoft Academic website, to categorize entities.\u00a0 These fields of study<\/a> are hierarchical in nature, grouping specific fields of study under larger, more generic fields of study.\u00a0 Over the past year we have thought a lot about how to help our users visualize our topic hierarchy and the connections within it.<\/p>\n Entity Analytics is a big part of the Microsoft Academic website.\u00a0 On our analytics pages, we show statistics of each entity in our graph as well as rankings and trends.\u00a0 However, navigating through the 700K+ topics can be a difficult task.\u00a0 In previous releases we created a Topic browser control<\/a> that allows you to search for topics you are interested in.\u00a0 Once a desired topic is selected, parent and child topics are displayed to help users understand the hierarchical nature of topics in our graph and navigate between them.\u00a0 This control fits its basic purpose but does not give the user perspective on the scale of topics available and how they are connected.<\/p>\n We feel that a visual representation of our topic hierarchy can give our users better context.\u00a0 Given that topics in Microsoft Academic can have many parents and children, seeing these relationships in a directed graph brings perspective to their structure.\u00a0 It also brings a bit of fun to exploring the topic graph as well.\u00a0 In its default state, the topic graph explorer shows all the top-level topics and allows you to expand down the graph.\u00a0 Nodes are color coded to the level of the hierarchy in which they appear and sized based on the number of publications contained in them.<\/p>\n As you navigate around the graph, child and parent nodes are drawn and connected.\u00a0 Depending on which entity analytics page you are viewing, information about entities within that topic will be shown.\u00a0 Below is a zoomed-out view of the Optics topic and its relationships on the author analytics page.\u00a0 On the left, you can see its parent relationship with Physics and its shared child topics with both Computer Vision and Algorithm.\u00a0 On the right, you can see detailed information the topic and the authors within.<\/p>\n