Multilayer Social Networks

Nonfiction, Computers, General Computing, Social & Cultural Studies, Social Science
Cover of the book Multilayer Social Networks by Mark E. Dickison, Matteo Magnani, Luca Rossi, Cambridge University Press
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Author: Mark E. Dickison, Matteo Magnani, Luca Rossi ISBN: 9781316718834
Publisher: Cambridge University Press Publication: July 18, 2016
Imprint: Cambridge University Press Language: English
Author: Mark E. Dickison, Matteo Magnani, Luca Rossi
ISBN: 9781316718834
Publisher: Cambridge University Press
Publication: July 18, 2016
Imprint: Cambridge University Press
Language: English

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Multilayer networks, in particular multilayer social networks, where users belong to and interact on different networks at the same time, are an active research area in social network analysis, computer science, and physics. These networks have traditionally been studied within these separate research communities, leading to the development of several independent models and methods to deal with the same set of problems. This book unifies and consolidates existing practical and theoretical knowledge on multilayer networks including data collection and analysis, modeling, and mining of multilayer social network systems, the evolution of interconnected social networks, and dynamic processes such as information spreading. A single real dataset is used to illustrate the concepts presented throughout the book, demonstrating both the practical utility and the potential shortcomings of the various methods. Researchers from all areas of network analysis will learn new aspects and future directions of this emerging field.

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