Abstract
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 follower rank value anyway. The study ignores if there are buzzer accounts on Twitter.
Highlights
Covid-19 is a disease of the virus that is shaking the world and has been designated by WHO as a pandemic
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
5128–30, 2005, doi: One, vol 9, no
Summary
Coronavirus disease 2019 (Covid-19) adalah penyakit dari virus coronavirus jenis baru (SARS-CoV-2) yang menggemparkan dunia dan telah ditetapkan oleh WHO sebagai sebuah pandemik [1]. Social Network Analysis merupakan sebuah metode analisis yang memiliki konsentrasi dalam mengukur eigenvector centrality sebuah interaksi dan hubungan yang ada serta menggambarkannya kedalam beberapa informasi [5]. Metodologi penelitian interaksi dalam sebuah jaringan penyebaran informasi terkait Covid-19 di Indonesia pada setiap tweet SNA dapat memberikan sebuah Tahap pengumpulan data diambil dari data yang graph dari visualisasi di dalam jaringan sesuai dengan disediakan oleh web academic.droneemprit.id pada data yang telah di dapat berupa nodes dan edges. Tujuan menggunakan metode ini diharapkan dapat menggunakannya, namun pada data Drone Emprit membantu dalam mengidentifikasi sumber informasi lainnya sudah di lakukan penelitian oleh [11], [12], [13]. Covid-19 dari awal muncul sampai tahun 2020, apakah Pemilihan menggunakan Drone Empirit dikarenakan didominasi oleh akun-akun Twitter berkompeten pada Drone Emprit memiliki banyak projek yang data dibidangnya. Dapat di ambil lebih besar, banyak dan periode waktu yang cukup lama [11]
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