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.