Networks: An Introduction (Hardcover)

Mark Newman

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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 a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks.

The study of networks is broadly interdisciplinary and important developments have occurred in many fields, including mathematics, physics, computer and information sciences, biology, and the social sciences. This book brings together for the first time 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.

Subjects covered include the measurement and structure of networks in many branches of science, methods for analyzing network data, including methods developed in physics, statistics, and sociology, the fundamentals of graph theory, computer algorithms, and spectral methods, mathematical models of networks, including random graph models and generative models, and theories of dynamical processes taking place on networks.

商品描述(中文翻譯)

經過近年來的科學研究,包括電腦網路、社交網路和生物網路等,對於網路的研究已經引起了極大的關注。互聯網的興起和廉價電腦的廣泛普及使得我們能夠大規模地收集和分析網路數據,並且發展了各種新的理論工具,使我們能夠從不同類型的網路中提取新的知識。

網路研究是一個廣泛的跨學科領域,許多領域都取得了重要的發展,包括數學、物理學、計算機和信息科學、生物學和社會科學。本書首次將這些領域中最重要的突破成果集結在一起,以一種有條理的方式呈現,突出了不同領域之間的緊密聯繫。

本書涵蓋了許多科學領域中網路的測量和結構,包括物理學、統計學和社會學等領域中發展的分析網路數據的方法,圖論的基礎知識、計算機算法和譜方法,網路的數學模型,包括隨機圖模型和生成模型,以及在網路上進行的動態過程的理論。