Networks, 2nd Edition

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. 包括计算机网络，社交网络和生物网络在内的网络研究在过去几年引起了极大的兴趣。互联网的兴起和廉价计算机的广泛应用使得以前所未有的规模收集和分析网络数据成为可能，新理论工具的开发使我们能够从多种不同类型的网络中提取知识。网络研究具有广泛的跨学科性，在许多领域都有发展，包括数学，物理，计算机和信息科学，生物学和社会科学。本书汇集了这些领域中最重要的突破，并以连贯的方式呈现，凸显了不同领域工作之间的紧密联系。 涵盖的主题包括网络测量;分析网络数据的方法，包括在物理学，统计学和社会学中开发的方法;图论的基本原理;计算机算法;网络的数学模型，包括随机图模型和生成模型;和网络上发生的动态过程理论。