{"id":2298,"date":"2022-08-01T10:53:04","date_gmt":"2022-08-01T03:53:04","guid":{"rendered":"https:\/\/research.binus.ac.id\/airdc\/?p=2298"},"modified":"2024-01-15T10:53:42","modified_gmt":"2024-01-15T03:53:42","slug":"identifying-important-usernames-in-biofarma-conversation-using-twitter-network-analysis","status":"publish","type":"post","link":"https:\/\/research.binus.ac.id\/airdc\/2022\/08\/identifying-important-usernames-in-biofarma-conversation-using-twitter-network-analysis\/","title":{"rendered":"Identifying Important Usernames in &#8216;Biofarma&#8217; Conversation using Twitter Network Analysis"},"content":{"rendered":"<p style=\"text-align: justify\">This study analyzed interactions between Twitter users in conversations regarding Indonesia&#8217;s state-owned vaccine manufacturer &#8216;Biofarma&#8217; in 2021. The primary objective of this study is to identify Key Opinion Leaders (KOL) due to the need of authentic and trustworthy persona in social media. A technique called network centrality was employed in this research alongside four centrality measurements, namely degree of centrality, eigenvector centrality, betweenness centrality, and closeness centrality. Focused on using a reply network interaction dataset, the research discovered several important usernames with different roles that enlivened the conversation and have a potential for social media marketing optimization.<\/p>\n<p style=\"text-align: justify\">ICIMTech<\/p>\n<p style=\"text-align: justify\">Reza Rahutomo, Ainun Jariyah, Joko Pebrianto Trinugroho, Bens Pardamean<\/p>\n<p style=\"text-align: justify\"><a href=\"https:\/\/www.researchgate.net\/publication\/362381586_Identifying_Important_Usernames_in_%27Biofarma%27_Conversation_using_Twitter_Network_Analysis\">Read Full Article<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This study analyzed interactions between Twitter users in conversations regarding Indonesia&#8217;s state-owned vaccine manufacturer &#8216;Biofarma&#8217; in 2021. The primary objective of this study is to identify Key Opinion Leaders (KOL) due to the need of authentic and trustworthy persona in social media. A technique called network centrality was employed in this research alongside four centrality [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":2299,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2298","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publications"],"_links":{"self":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2298","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/users\/14"}],"replies":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/comments?post=2298"}],"version-history":[{"count":1,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2298\/revisions"}],"predecessor-version":[{"id":2300,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/posts\/2298\/revisions\/2300"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media\/2299"}],"wp:attachment":[{"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/media?parent=2298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/categories?post=2298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/research.binus.ac.id\/airdc\/wp-json\/wp\/v2\/tags?post=2298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}