Multilayer Social Networks 1st edition by Mark Dickison, Matteo Magnani, Luca Rossi – Ebook PDF Instant Download/Delivery: 1107438756, 978-1107438750
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ISBN 10: 1107438756
ISBN 13: 978-1107438750
Author: Mark Dickison, Matteo Magnani, Luca Rossi
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.
Multilayer Social Networks 1st Table of contents:
1 Moving Out of Flatland
1.1 Multiple Social Networks in Our Everyday Experience
1.2 An Introductory Example
1.3 Scope and Other Learning Resources
1.4 Outline of the Book
1.5 Acknowledgments
Part I Models and Measures
2 Representing Multilayer Social Networks
2.1 Terminology and Model
2.2 Related Models
2.3 Data Sets
3 Measuring Multilayer Social Networks
3.1 Four Main Approaches
3.2 Actor Measures
3.3 Layer Measures
Part II Mining Multilayer Networks
4 Data Collection and Preprocessing
4.1 Issues in Data Collection
4.2 Network Simplification
5 Visualizing Multilayer Networks
5.1 Four Main Approaches
5.2 Visualizing Multilayer Network Metrics
5.3 Visualizing Multilayer Network Structures
5.4 Augmented Networks: Structure + Measures
5.5 Simplified Network Visualization
6 Community Detection
6.1 Methods Based on Simplification
6.2 Combination of Single-Layer Communities
6.3 Multilayer Modularity Optimization
6.4 Multiple Actor Types
6.5 Community Interpretation, Evaluation, and Description
7 Edge Patterns
7.1 Edge Prediction
7.2 Layer Associativity
Part III Dynamical Processes
8 Formation of Multilayer Social Networks
8.1 General Properties for Social Network Formation
8.2 Single-Layer Network Formation
8.3 Multilayer Properties
8.4 Multilayer Formation Models
9 Information and Behavior Diffusion
9.1 Diffusion in Networks
9.2 Modeling Information Spreading
9.3 Opinion Formation and Behavior Adaptation
Part IV Conclusion
10 Future Directions
10.1 New Models and Measures
10.2 Multilayer Network Visualization
10.3 Communities and Other Groups
10.4 Formation, Diffusion, and Temporal Processes
10.5 Big Open Data
Glossary
Bibliography
Index
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Tags: Mark Dickison, Matteo Magnani, Luca Rossi, Multilayer Social Networks