This book unifies and consolidates methods for analyzing multilayer networks arising from the social and physical sciences and computing.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Mark Dickison is a Data Science Manager at Capital One, where he attempts to put his knowledge of complex systems and technical skills at the forefront of solving business problems while still finding time to stay current with theory. He has been a post-doctoral fellow at Pennsylvania State in their USP program, which supports the US Defense Threat Reduction Agency, one of the first organizations to focus on multiple network models. His research interests fall within multidisciplinary network modeling, including network formation, and epidemiological and opinion spreading, as well as data mining and machine learning.
Inhaltsangabe
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.
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.
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