Naïve Bayes Method for Text-Based Sentiment Analysis on Social Media

Abstract

Scientometrics is the study of  measurement and analysis of science, innovation and technology through scientific publications. One form of measurement that can be taken is  the network of authors measurement. This study uses author network analysis as a measurement tool performed in scientific studies. The purpose of this study was to observe the Authorsip network formed among professors at Bina Darma University, in order to determine which professors and departments are the most productive in producing yearbook articles  or magazine. The method used in this study is the centrality of graphic degrees. Software used to view Gephi 0.9.2. The data used in this study are published data for the year 2015-2020. Based on the results of this study, it can be concluded that the agent with the highest central value is the EU with a value of 28, where the EU is the agent. with the largest number of publications. Meanwhile, the actor who has an influence or relationship and frequently collaborates on publications with the highest score on Betweenness Centrality is AM with a score of 61500.94.