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.
发表于2024-12-21
Networks 2024 pdf epub mobi 电子书
科学是“运用范畴、定理、定律等思维形式反映现实世界各种现象的本质规律的知识体系。”每当面临一个新的自然现象或新的现实世界问题时,都会出现一种新的科学理论和方法,对其进行观察、识别、描述、质疑、假设、验证和总结等,正如达尔文所说的:“科学就是整理事实,从中发...
评分科学是“运用范畴、定理、定律等思维形式反映现实世界各种现象的本质规律的知识体系。”每当面临一个新的自然现象或新的现实世界问题时,都会出现一种新的科学理论和方法,对其进行观察、识别、描述、质疑、假设、验证和总结等,正如达尔文所说的:“科学就是整理事实,从中发...
评分科学是“运用范畴、定理、定律等思维形式反映现实世界各种现象的本质规律的知识体系。”每当面临一个新的自然现象或新的现实世界问题时,都会出现一种新的科学理论和方法,对其进行观察、识别、描述、质疑、假设、验证和总结等,正如达尔文所说的:“科学就是整理事实,从中发...
评分科学是“运用范畴、定理、定律等思维形式反映现实世界各种现象的本质规律的知识体系。”每当面临一个新的自然现象或新的现实世界问题时,都会出现一种新的科学理论和方法,对其进行观察、识别、描述、质疑、假设、验证和总结等,正如达尔文所说的:“科学就是整理事实,从中发...
评分科学是“运用范畴、定理、定律等思维形式反映现实世界各种现象的本质规律的知识体系。”每当面临一个新的自然现象或新的现实世界问题时,都会出现一种新的科学理论和方法,对其进行观察、识别、描述、质疑、假设、验证和总结等,正如达尔文所说的:“科学就是整理事实,从中发...
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
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.
很多书里面这些东西应该算是入门做网络的人的常识吧,确实还是要花时间学的,虽然学起来不会特别快要一点耐心,挺好的总结……去年夏天想一个月看完最后发现不太现实,今年2月开始每天看半个小时到一个小时,今天总算看完了……
评分简明易懂 适合做入门教材
评分简明易懂 适合做入门教材
评分简明易懂 适合做入门教材
评分简明易懂 适合做入门教材
Networks 2024 pdf epub mobi 电子书