Social Networks: Modeling and Analysis

The goal of this book is to provide a reference for applications of  mathematical modeling in social media and related network analysis and  offer a theoretically sound background with adequate suggestions for  better decision-making.

Social Networks: Modeling and Analysis  provide the essential knowledge of network analysis applicable to  real-world data, with examples from today's most popular social networks  such as Facebook, Twitter, Instagram, YouTube, etc. The book provides  basic notation and terminology used in social media and its network  science. It covers the analysis of statistics for social network  analysis such as degree distribution, centrality, clustering  coefficient, diameter, and path length. The ranking of the pages using  rank algorithms like Page Rank and HITS are also discussed.

Written  as a reference this book is for Engineering and Management Students,  Research Scientists, Academicians involved in complex networks,  mathematical sciences, and marketing research.