Visualization and centrality measurement of social network analysis

Abstract

Social networks have increased in popularity and play an important role in people's life nowadays. Hundreds of millions of people participate in social networks and the number is growing day by day. Social networks have become a useful tool and help people in every field of life such as in education, politics and business. Social networks give people the idea of knowing and interacting with each other, experiencing the power of sharing and being connected with people from different places and countries. The purpose of this study is to analyse the behaviour of actors in a network, the graph and the relationship between actors in social networks. The researcher expects to use the technique of Social Network Analysis with Organisation Risk Analyser (ORA) tool to analyse the data. Three different types of dataset are analysed in the form of network visualisation and centrality measurement. The results reveal the hidden relationships and clusters in the network, and indicate which nodes provide better performance for each centrality measure