Identification of Centrality Measures in Social Network using Network Science

World have many complex systems and each of them composed of various smaller components. Network science has been used to study the complex system like Brain with numerous neurons, Internet, Business Connection and within other domains. This paper focused on study about Network Science, Social Network Analysis and identifying centrality measures using literature survey. In further process R code had applied to find Centrality measures of sample network and Community detection is done on real dataset gathered from USDS (USICT Student Dataset) using Network Science, Newman-Girvan Algorithm.