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Mark Newman, Anatol Rapoport Distinguished University Professor of Physics, University of Michigan, USA

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.

出版者:OUP Oxford

作者:Mark Newman

出品人:

页数:800

译者:

出版时间:2018-7-26

价格:GBP 49.99

装帧:Hardcover

isbn号码:9780198805090

丛书系列:

图书标签:

网络社会科学
复杂
网络科学
复杂科学
Math
统计学
系统科学
混沌

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The study of networks, including computer networks, social networks, and biological networks, has attracted enormous 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 knowledge from networks of many different kinds. The study of networks is broadly interdisciplinary and central 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 coherent 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; mathematical models of networks, including random graph models and generative models; and theories of dynamical processes taking place on networks.