An Empirical Study of Sentiment and Behavioural Analysis using Homophily Effect in Social Network

Nowadays social media plays an important role to share data among different people, wherein they form various types of groups. Like-minded people form a group called homophily. People are influenced by each other from their opinion and information in a homophily network. They provide their own opinions on different subjects on the web. These subjects may be different social issues, news, events and selecting products. These types of data are used for sentiment and behaviour analysis of users. This paper investigates the homophily effect on sentiment and behavioural analysis of like-minded people in a social network.