Social Network Analysis On Twitter Sentiment Data Using Netlytic (Case Study: ‘Ganjar’ And ‘World Cup’)
DOI:
https://doi.org/10.38142/jisdb.v1i1.652Keywords:
Social Network Analysis, Ganjar, World Cup, Twitter, NetlyticAbstract
The purpose of this study is to look at the types of relationships and communication network structures on the topics of ‘Ganjar’ and ‘Piala Dunia’ that are naturally carried out by actors on Twitter using Social Network Anlysis. The data collection method uses the Netlytic website by using the topics ‘Ganjar’ and ‘Piala Dunia’ that are trending in Indonesia in the Twitter application. In addition, the research also uses qualitative data, namely data in the form of words. The data was obtained from quantitative data analysis from the Netlytic website which contained 8226 posts on crawling using the keywords ‘Ganjar’ and ‘Piala Dunia’ on April 21, 2023 at 11:38:30 WIB. The data contained a variety of tweets from Twitter users. Many of the tweets showed that Ganjar’s rejection of the U-20 World Cup could affect his electability. In addition, Twitter users also showed their disappointment with what Ganjar had done. The actor @matanajwa is the dominating actor in the communication network with the topics ‘Ganjar’ and ‘Piala Dunia’.
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Creative Commons Attribution-NonCommercial 4.0 International License.
