ANALISIS JARINGAN KOMUNIKASI OPINI PUBLIK PADA FENOMENA “PEMECATAN Dr TERAWAN” DI TWITTER

Agus Rafi Al Majid, Widyo Nugroho
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Abstract

This study aims to determine the system-level communication network and actors on the “Terawan” link and to find out public opinion about this phenomenon and how the IDI organization reacts in responding to public opinion. By using the theory of Computer Mediated Communication (CMC). The method used in this research is a quantitative approach with the method of Social Network Analysis with Netlytic and Gephi and content analysis. The population used in this study are active Twitter users, with a maximum sample of 2500 obtained from Netlytic. The results showed that this network has 1969 Nodes and 1991 Edges, with 5 large clusters in this network. This network has a value of Diameter 19, Destiny 0.000604, Reciprocity 0.011160, Centralization 0.107200 and Modularity 0.810800. The most influential actor in this network is @heraloebs with a Degree Centrality value of 391 and an Eigenvector Centrality value of 1.0. Therefore, this network includes a network that is widespread in the distribution of information, with influential actors in the distribution of information such as @heraloebss. While the focus of communication carried out by the IDI organization in responding to public opinion regarding the phenomenon of “Dr Terawan’s dismissal”
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分析公众舆论的网络分析TWITTER上的“TERAWAN医生的脱离困境”现象
本研究旨在确定“Terawan”环节上的系统级传播网络和行动者,并找出关于这一现象的舆论,以及IDI组织如何回应舆论。运用计算机中介通信(CMC)理论。在本研究中使用的方法是定量的方法与社会网络分析与Netlytic和Gephi和内容分析的方法。本研究中使用的人群是活跃的Twitter用户,从Netlytic获得的最大样本为2500人。结果表明,该网络有1969个节点和1991个边缘,其中有5个大型集群。该网络的值为直径19,命运0.000604,互惠0.011160,集中化0.107200,模块化0.810800。该网络中最具影响力的参与者是@heraloebs,度中心性值为391,特征向量中心性值为1.0。因此,这个网络包括一个广泛传播信息的网络,其中有传播信息的有影响力的行动者,如@heraloebss。而IDI组织在回应关于“Terawan博士被解雇”现象的舆论时所进行的沟通重点
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