Social network analysis has been an essential topic

with broad content sharing from social media. Defining the

directed links in social media determine the flow of information and
indicates the user's influence. Due to the enormous data and
unstructured nature of sharing information, there are several challenges
caused while handling data. Graph Analytics proves to be an essential
tool for addressing problems such as building networks from unstructured
data, inferring information from the system, and analyzing the community
structure of a network. The proposed approach aims to determine the
influencers on Twitter data, based on the follower's count as well as
the retweet count. Several graph-based algorithms are implemented on the
data collected to find the influencer as well as communities in the
network.