Identifying Micro-influencers on Social Media using User Graph Construction Approach

Abstract

Nowadays Influencers are responsible for setting trends and influencing public opinion on social media. As a result, identifying and uncovering influencers can assist organizations in having a good impact on their users. We investigated influencer recognition techniques utilizing a graph method in this research, with the goal of categorizing influencers into different sectors. The purpose of this paper is to concentrate the report on creating a graph in the social networking platform Facebook in order to locate influencers. A collection of edges and vertices represent this graph. To discover actual influencers, we create graphs and compare the application of two graph ranking algorithms, PageRank and HITS.