'This is a comprehensive guide to a fascinating mathematical and computational perspective on real-world social phenomena … Overall, the book provides a thorough introduction to multilayer social networks, followed by an extensive literature review. The intensive interest and the enthusiasm of the authors for this area are contagious and stimulate the readers to further explore multilayer networks as tools for their own research domains. Hence, the book is recommended to researchers, practitioners, and teachers who are eager to 'escape from Flatland' and investigate new dimensions.' Lefteris Angelis, Computing Reviews
1. Moving out of flatland; Part I. Models and Measures: 2. Representing multilayer social networks; 3. Measuring multilayer social networks; Part II. Mining Multilayer Networks: 4. Data collection and preprocessing; 5. Visualizing multilayer networks; 6. Community detection; 7. Edge patterns; Part III. Dynamical Processes: 8. Formation of multilayer social networks; 9. Information and behavior diffusion; Part IV. Conclusion: 10. Future directions.