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Название: Social Networks: Modelling and Analysis
Автор: Niyati Aggrawal, Adarsh Anand
Издательство: CRC Press
Год: 2022
Страниц: 254
Язык: английский
Формат: pdf (true)
Размер: 12.8 MB
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. Chapter 1 discusses the basic concepts and terminologies related to network analysis applicable to real-world data, with examples from today's most popular social networks. Chapter 2 discusses the need for scientific analysis wherein the representation of a network as a graph (various kind of graphs). Chapter 10 gives an overview of the information diffusion process on social networking platforms and various mathematical modelling frameworks. Chapter 11 gives a brief overview about security and privacy issues on social networks, and Chapter 12 provides an overview of the various social networking tools such as Gephi, UCINET, NetworkX, Pajek and many more.
Автор: Niyati Aggrawal, Adarsh Anand
Издательство: CRC Press
Год: 2022
Страниц: 254
Язык: английский
Формат: pdf (true)
Размер: 12.8 MB
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. Chapter 1 discusses the basic concepts and terminologies related to network analysis applicable to real-world data, with examples from today's most popular social networks. Chapter 2 discusses the need for scientific analysis wherein the representation of a network as a graph (various kind of graphs). Chapter 10 gives an overview of the information diffusion process on social networking platforms and various mathematical modelling frameworks. Chapter 11 gives a brief overview about security and privacy issues on social networks, and Chapter 12 provides an overview of the various social networking tools such as Gephi, UCINET, NetworkX, Pajek and many more.