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" Networks / "
Mark Newman, University of Michigan.
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BL
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| Record Number
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873900
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| Main Entry
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Newman, M. E. J., (Mark E. J.)
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| Title & Author
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Networks /\ Mark Newman, University of Michigan.
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| Edition Statement
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Second edition.
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| Publication Statement
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Oxford, United Kingdom ;New York, NY, United States of America :: Oxford University Press,, 2018.
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| Page. NO
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xi, 780 pages :: illustrations ;; 26 cm
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| ISBN
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0198805098
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: 9780198805090
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| Bibliographies/Indexes
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Includes bibliographical references (page 732-750) and index.
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| Contents
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1. Introduction -- 2. Technological networks -- 3. Networks of information -- 4. Social networks -- 5. Biological networks -- 6. Mathematics of networks -- 7. Measures and metrics -- 8. Computer algorithms -- 9. Network statistics and mesurement error -- 10. The structure of real-world networks -- 11. Random graphs -- 12. The configuration model -- 13. Models of network formation -- 14. Community structure -- 15. Percolation and network resilience -- 16. Epidemics on networks -- 17. Dynamical systems on networks -- 18. Network search -- References -- Index.
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| Abstract
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"The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet and the wide availability of inexpensive computers have made it possible to gather and analyze network data on an unprecedented scale, and the development of new theoretical tools has allowed us to extract new knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and `developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together the most important breakthroughs in each of these fields and presents them in a unified fashion, highlighting the strong interconnections between work in different areas. Topics covered include the measurement of networks; methods for analyzing network data, including methods developed in physics, statistics, and sociology; fundamentals of graph theory; computer algorithms, including spectral algorithms and community detection; mathematical models of networks such as random graph models; and models of processes taking place on networks"--Back cover.
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| Subject
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Engineering systems.
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Network analysis (Planning)
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Social systems.
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System analysis.
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Systems biology.
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Engineering systems.
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Forschung
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Interdisziplinarität
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Mathematisches Modell
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Network analysis (Planning)
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Netzwerk
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Netzwerktheorie
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Rechnernetz
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Social systems.
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Soziales Netzwerk
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System analysis.
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Systems biology.
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| Dewey Classification
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003.75
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| LC Classification
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T57.85.N523 2018
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