  Social Media is a key aspect of modern society where people share their
thoughts, views, feelings and sentiments. Over the last few years, the
inflation in popularity of social media has resulted in a monumental increase
in data. Users use this medium to express their thoughts, feelings, and
opinions on a wide variety of subjects, including politics and celebrities.
Social Media has thus evolved into a lucrative platform for companies to expand
their scope and improve their prospects. The paper focuses on social network
analysis (SNA) for a real-world online marketing strategy. The study
contributes by comparing various centrality measures to identify the most
central nodes in the network and uses a linear threshold model to understand
the spreading behaviour of individual users. In conclusion, the paper
correlates different centrality measures and spreading behaviour to identify
the most influential user in the network
