Consumer behaviour analysis in social network using Big Data

Abstract

In present, the social network plays a vital role in every person of the society irrespective of age, community, gender, business background etc… At present, 3.4 billion to 3.6 billion people were connected through social networks, and also there will be an increase in the number of around 4.50 billion by 2025. This massive usage of social media platforms paves the way to many E-Commerce companies to promote their growth by targeting the customers according to their needs. But it is not easy for the companies to reach their respective customers as they want to analyze huge data that were generated in a social network of different age groups and backgrounds. To analyze these huge volumes of data, Big Data comes into the role which handles both the structured and unstructured data. An algorithm is needed to implement on these data that analyses and classifies the consumer based on their behavior that satisfies their needs. To provide an optimal solution to this problem two mechanisms are applied in this paper.