Towards Inferring Influential Facebook Users

Because of the complexity actors and relationships between them, social networks are always represented by graphs. This structure makes it possible to analyze effectiveness network for who there. work presents a analysis approach that focused on processing Facebook pages users react posts infer influential people. In our study, we particularly interested in studying page, reactions fans (users) towards these posts. The topics covered include data crawling, graph modeling, exploratory using statistical tools machine learning algorithms. We seek detect people sense influence user lies their ability transmit disseminate information. Once determined, have an impact business specific brand. proposed has shown its properties important implications outcome interest.