Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

Analisis Akun Twitter Berpengaruh terkait Covid-19 menggunakan Social Network Analysis

Centrality, Covid-19, Follower Rank, Social Network Analysis, Twitte

Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic. This case of Covid-19 can be a place of dissemination of disinformation that can be utilized by some parties. The dissemination of information in this day and age has turned to the internet, namely social media, Twitter is one of the social media that is often used by Indonesians and the data can be analyzed. This study uses the social network analysis method, conducted to be able to find nodes that affect the ongoing interaction in the interaction network of information dissemination related to Covid-19 in Indonesia and see if the node is directly proportional to the value of its popularity. As well as to know in identifying the source of Covid-19 information, whether dominated by competent Twitter accounts in their fields. The data examined 19,939 nodes and 12,304 edges were taken from data provided by the web academic.droneemprit.id on the project "Analisis Opini Persebaran Virus Corona di Media Sosial", using the period of December 2019 to December 2020 on social media Twitter. The results showed that the @do_ra_dong account is an influential actor with the highest degree centrality of 860 and the @detikcom account is the actor with the highest popularity value of follower rank of 0.994741605. Thus actors who have a high degree of centrality value do not necessarily have a high followerrank value anyway. The study ignores if there are buzzer accounts on Twitter.

Aprillian Kartino1, M. Khairul Anam2,Rahmaddeni3, Junadhi

https://jurnal.iaii.or.id/index.php/RESTI/issue/view/24

STMIK Amik Riau

20 agustus 2021

Fajar bagus W

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Indonesia

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