{"id":239327,"date":"2014-03-01T18:18:50","date_gmt":"2014-03-02T02:18:50","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-project&#038;p=239327"},"modified":"2017-01-25T07:50:26","modified_gmt":"2017-01-25T15:50:26","slug":"diosi-dynamics-intimacy-online-social-interactions","status":"publish","type":"msr-project","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/project\/diosi-dynamics-intimacy-online-social-interactions\/","title":{"rendered":"DIOSI: Dynamics of intimacy from online social interactions"},"content":{"rendered":"<p>Friendships are dynamic. In this project, we uncover the dynamics of tie strength and online social interactions in terms of various aspects, such as reciprocity, temporality, and contextually. Based upon these dynamics, we build a learning to rank framework to predict social interactions in online social networks.<\/p>\n<div class=\"conM \">\n<h2>Dynamics of tie intimacy<\/h2>\n<ul>\n<li><strong>Reciprocity\u2014<\/strong>Whether the tie strength is reciprocal.<\/li>\n<li><strong>Temporality<\/strong>\u2014How the tie strength evolve over an extended period<\/li>\n<li><strong>Contextuality<\/strong>\u2014How the tie strength changes based upon contexts such as a user\u2019s current location, interest, sentiment, degree of self-disclosure, and responsiveness.<\/li>\n<\/ul>\n<h2>Learning to rank friends<\/h2>\n<p>A learning to rank framework for predicting repliers and retweeters given a particular tweet posted at a certain time.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-239330\" src=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2016\/06\/learningtorank.png\" alt=\"Learning to rank\" width=\"1111\" height=\"556\" srcset=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2016\/06\/learningtorank.png 1111w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2016\/06\/learningtorank-300x150.png 300w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2016\/06\/learningtorank-768x384.png 768w, https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2016\/06\/learningtorank-1024x512.png 1024w\" sizes=\"auto, (max-width: 1111px) 100vw, 1111px\" \/><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Friendships are dynamic. In this project, we uncover the dynamics of tie strength and online social interactions in terms of various aspects, such as reciprocity, temporality, and contextually. Based upon these dynamics, we build a learning to rank framework to predict social interactions in online social networks. Dynamics of tie intimacy Reciprocity\u2014Whether the tie strength [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13563,13559],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-239327","msr-project","type-msr-project","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-data-platform-analytics","msr-research-area-social-sciences","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"2014-03-01","related-publications":[],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","value":"cyl","display_name":"Chin-Yew Lin","author_link":"<a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/cyl\/\" aria-label=\"Visit the profile page for Chin-Yew Lin\">Chin-Yew Lin<\/a>","is_active":false,"user_id":31493,"last_first":"Lin, Chin-Yew","people_section":0,"alias":"cyl"},{"type":"user_nicename","value":"nicholas-yuan","display_name":"","author_link":"","is_active":false,"user_id":"","last_first":"","people_section":0,"alias":""},{"type":"user_nicename","value":"xingx","display_name":"Xing Xie","author_link":"<a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/people\/xingx\/\" aria-label=\"Visit the profile page for Xing Xie\">Xing Xie<\/a>","is_active":false,"user_id":34906,"last_first":"Xie, Xing","people_section":0,"alias":"xingx"}],"msr_research_lab":[199560],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/239327","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":1,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/239327\/revisions"}],"predecessor-version":[{"id":239897,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/239327\/revisions\/239897"}],"wp:attachment":[{"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/media?parent=239327"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=239327"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=239327"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=239327"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=239327"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}