Abstract: Today, social networks are increasingly used by individuals and communities. Social network analysis is the study of relationships between humans using graph theory. A social network consists of a group of individuals or organizations that are nodes and relationships between nodes can be friends, relatives, business etc. The relationship between two nodes shown with an edge in social network graph. This research is used of centrality metrics to determine user’s positions. centrality is show Role of the individual in a social network. Four metrics used are betweenness centrality, closeness centrality, eigenvector centrality and PageRank. The social network actor’s position has predicted using Multilayer Perceptron Neural Network. The results showed that the predicted values are significantly closer to the actual values.