Penerapan Graf Berarah dan Berbobot untuk Mengetahui Inluencer yang Paling Berpengaruh dalam Penyebaran Informasi pada Twitter

A graph is a non-empty set whose members are vertices and edges, where the edges connect several pairs of these vertices; likewise, social media connects users with each other through interests, relationships, likes dislikes. The rapid development technology in era globalization has made more effective source information, one them Twitter which been used by 280 million people world. This research involves 100 who classified as Influencers Indonesia have than 10,000 followers visualizing their relationship followed directed weighted graph. First, data filtered using Twecoll script Python software, then visualized Gephi software form centrality value calculated to determine influential influencers spreading information on network. Based results study, it was found that network pattern had collected following list @dearmyths accounts, there were 96 points 1883 sides side having highest weight being @detikcom, @ivanlanin @ernestprakasa calculations accounts can disseminate