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Social Networks

Modelling and Analysis

By: Niyati Aggrawal,Adarsh Anand

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Social Networks

Modelling and Analysis

By: Niyati Aggrawal,Adarsh Anand

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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Page Count

220

Publisher

CRC Press

Published Date

ISBN 10

1000540006

ISBN 13

9781000540000

Social Networks

Modelling and Analysis

By: Niyati Aggrawal,Adarsh Anand

Write a review Read reviews Take a Quiz Solve Book Puzzle

Social Networks

Modelling and Analysis

By: Niyati Aggrawal,Adarsh Anand

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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Page Count

254

Publisher

CRC Press

Published Date

ISBN 10

1000539997

ISBN 13

9781000539998