Social Network Analysis Of Tweets During Protest Action On Regulations Draft Of ^Omnibuslaw^- An Overview From Social Psychology Perspective Vici Sofianna Putera (a*), Dwi Agustin Nuriani Sirodj (b), Rizka Hadian Permana (a)
a) Fakultas Psikologi, Universitas Islam Bandung
*vici.putera[at]unisba.ac.id
b) Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Islam Bandung
Abstract
Analysis of tweets extracted from Twitter during a student demonstration against the rejection of the Job Crea-tion Bill. Social Network Analysis (SNA) analysis techniques were used to analyze the online networks that ap-peared at that time. The data source comes from the social media platform twitter using a web-based application, namely netlytic using the keyword #tolakomnibuslaw. The results of this analysis are 1) The trend of #tolakom-nibuslaw posts was mostly posted on August 14, 2020 and decreased dramatically thereafter, 2) The @jokowi and @dpr_ri accounts are the most mentioned accounts in every #tolakomnibuslaw post because they are con-sidered the most capable and right in conveying the aspirations of the hashtag #tolakomnibuslaw, 3) The @tonggosmovic, @ari_balangsax and @nhiarjuniar accounts are the top three accounts that post the most #tolakomnibuslaw hashtags which are BOT (autoboot) accounts because the digital opinion movement with the hashtag #tolakomnibuslaw is limited to spread among or a community commanded by certain actors and 4) The hashtag #tolakomnibuslaw has succeeded in mobilizing public opinion from certain circles and there is a tenden-cy for actors to try to show their existence as critics who are always up to date in guarding government policy in this case, rejecting the regulations draft of Omnibuslaw.
Keywords: Social Network Analysis, media sosial, collective behavior, Twitter
