Analyzing the Social Networks Using Block Modeling Technique

With the advent of the Internet, social networks have grown enormously and Social Network Analysis (SNA) has come up as an important field for research. Social networks are represented as graphs where each node called an actor or vertex in a graph a is derived using various social network modeling techniques. One of the well known technique called 'block modeling' groups vertices into clusters and determine the relations between these clusters using matrices as computational tools. It is grounded on different structural concepts like equivalence and positions which are related to the theoretical concepts of social role and role sets. In this paper, the intent is to generate social network using various network tools and analyze the relationship between participants using block modeling techniques. The data, generated in binary form, has been analyzed and visualized with varying cluster sizes.