{"id":846,"date":"2024-09-18T13:33:22","date_gmt":"2024-09-18T17:33:22","guid":{"rendered":"https:\/\/wordpress.cs.vt.edu\/infovis\/?page_id=846"},"modified":"2024-10-23T13:22:57","modified_gmt":"2024-10-23T17:22:57","slug":"narrative-trails","status":"publish","type":"page","link":"https:\/\/wordpress.cs.vt.edu\/infovis\/narrative-trails\/","title":{"rendered":"Narrative Extraction"},"content":{"rendered":"\n<div class=\"wp-block-group\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1294\" src=\"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-scaled.jpg\" alt=\"\" class=\"wp-image-738\" style=\"width:812px;height:auto\" srcset=\"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-scaled.jpg 2560w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-300x152.jpg 300w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-1024x517.jpg 1024w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-768x388.jpg 768w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-1536x776.jpg 1536w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-2048x1035.jpg 2048w, https:\/\/wordpress.cs.vt.edu\/infovis\/wp-content\/uploads\/sites\/104\/2024\/09\/teaser-1-1568x792.jpg 1568w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><\/figure>\n\n\n\n<p>Algorithmic narrative extraction deals with extracting timelines\/storylines from large datasets. It helps analysts make sense of the data by reducing its complexity and making the connections and relationships between documents and ideas more explicit. By projecting the data to 2 dimensions and superimposing the narrative storyline within the projection space, this method helps to contextualize the narratives with the data, providing an alternative way of visualizing narratives beyond the traditional timelines.<br><strong><em>Suggested papers:<\/em><\/strong><br><a href=\"https:\/\/briankeithn.github.io\/files\/2021_CSCW.pdf\">Narrative Maps: An Algorithmic Approach to Represent and Extract Information Narratives<\/a><br><a href=\"https:\/\/briankeithn.github.io\/files\/2022_InfoVis.pdf\">Design guidelines for narrative maps in sensemaking tasks<\/a><br><a href=\"https:\/\/briankeithn.github.io\/files\/2023_IUI.pdf\">Mixed Multi-Model Semantic Interaction for Graph-based Narrative Visualizations<\/a><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" \/>\n<\/div><\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Algorithmic narrative extraction deals with extracting timelines\/storylines from large datasets. It helps analysts make sense of the data by reducing its complexity and making the connections and relationships between documents and ideas more explicit. By projecting the data to 2 dimensions and superimposing the narrative storyline within the projection space, this method helps to contextualize &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/wordpress.cs.vt.edu\/infovis\/narrative-trails\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Narrative Extraction&#8221;<\/span><\/a><\/p>\n","protected":false},"author":463,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-846","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/846","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/users\/463"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/comments?post=846"}],"version-history":[{"count":9,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/846\/revisions"}],"predecessor-version":[{"id":1081,"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/pages\/846\/revisions\/1081"}],"wp:attachment":[{"href":"https:\/\/wordpress.cs.vt.edu\/infovis\/wp-json\/wp\/v2\/media?parent=846"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}