Network Centralization Analysis Approach in the Spread of Hoax News on Social Media

The development of information technology in Indonesia seems to improve from year to year. It has an essential role in disseminating information to the community, including through a social media network is commonly known as Twitter. Some people use Twitter to spread news or information, but some others abuse it to spread fake news or irresponsible information (hoaxes). This study aims to see the patterns of interaction and the actors who play an essential role in the spread of hoax news on Twitter. The crawling of Twitter data uses Python 2.7, and the datasheet is then processed using the Social Network Analysis approach. It is later visualized using Gephi 0.9.2. Determination of the actors who play an essential role in the spread of hoax news is calculated based on centrality consisting of degree centrality, betweenness centrality, and closeness centrality. From several samples that have been tested using social network analysis methods and centrality calculations, have succeeded in identifying influential actors in hoax news dissemination on Twitter.