A social network analysis of opinions on GST in India within Twitter
Maitreyee Ganguly, Sarbani Roy · 2018
In this paper, we present a case study on sentiment and social network analysis of opinions on Twitter. We have used Twitter data as a corpus to find opinions about GST (Good and Service Tax) among Indians applied from July 1st, 2017. Tweets, retweets and mentions are collected to extract the opinions of Indian citizens in the form of positive and negative opinions. In order to find out how users, who posted about GST are connected to each other we have generated a directed network based on the data collected, where users are the node of the graph and there exists an edge between them if they have mentioned replies or retweeted the posts. The network of users tweeted about GST form a small world network.