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The goal of this book is to provide a reference for applications of
mathematical modelling in social media and related network analysis
and offer a theoretically sound background with adequate
suggestions for better decision-making. Social Networks: Modelling
and Analysis provides 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 such as Page Rank and
HITS are also discussed. Written as a reference this book is for
engineering and management students, research scientists, as well
as academicians involved in complex networks, mathematical
sciences, and marketing research.
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