A Network of Twitter User on Stunting Issue in Lampung, Indonesia

Abstract

This study analyzes the network of users and hashtag Twitter messages connected to the stunting issue in Lampung Province, Indonesia. The research process adopts social network analysis (SNA) methods. The research data comes from as many as forty thousand tweets from the Twitter API. Data is downloaded, processed, and analyzed with three R, R Studio, and Gephi. Research findings show that Twitter users linked to stunting have different: (a) degree scores (13%, 12%, <10%); (b) betweenness scores (4%, 2.67%, 1.07%, and <1%); and (c) a closeness score that divides the actors into two groups: a closeness score equal to 1 and a closeness score below 1. The hashtags #pakhalimtahanstunting and #jokowimembangundesa have become popular hashtags among Twitter users related to stunting issues. This study concludes that central and local government actors encourage preventive and cross-sectoral intervention even though there are still a few collaborations between actors and institutions involved in this process.