Networks

Sommario

• 1: Introduction


• Part I: The empirical study of networks


• 2: Technological networks


• 3: Networks of information


• 4: Social networks


• 5: Biological networks


• Part II: Fundamentals of network theory


• 6: Mathematics of networks


• 7: Measures and metrics


• 8: Computer algorithms


• 9: Network statistics and measurement error


• 10: The structure of real-world networks


• Part III: Network models


• 11: Random graphs


• 12: The configuration model


• 13: Models of network formation


• Part IV: Applications


• 14: Community structure


• 15: Percolation and network resilience


• 16: Epidemics on networks


• 17: Dynamical systems on networks


• 18: Network search

Info autore

Mark Newman received a D.Phil. in physics from the University of Oxford in 1991 and conducted postdoctoral research at Cornell University before joining the staff of the Santa Fe Institute, a think-tank in New Mexico devoted to the study of complex systems. In 2002 he left Santa Fe for the University of Michigan, where he is currently Anatol Rapoport Distinguished University Professor of Physics and a professor in the university's Center for the Study of Complex Systems.

Riassunto

This book brings together recent advances and presents a comprehensive picture of the scientific study of networks. It includes discussion of computer networks, social networks, biological networks, and others, and an introduction to the mathematics of network theory, including analysis techniques, computer algorithms, and network modeling.

Dettagli sul prodotto

• Autori: Mark Newman, Mark (Anatol Rapoport Distinguished Univer Newman, Newman Mark
• Editore: Oxford University Press
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 26.07.2018
• EAN: 9780198805090
• ISBN: 978-0-19-880509-0
• Pagine: 800
• Categorie: Scienze naturali, medicina, informatica, tecnica; COMPUTERS / Computer Science, SCIENCE / Physics / General, MATHEMATICS / Applied, COMPUTERS / Networking / General, computer science, Mathematical modelling, Statistical physics, Computer networking & communications, Computer networking and communications