This text is a concise modern introduction to the science of complex networks, and is based on lectures for university students and non-specialists. The author aims to introduce a reader without serious background in mathematics or physics to the world of networks. The lectures fill the existing gap between popular science books and comprehensive reference volumes on complex ne...(展开全部)

The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort...(展开全部)

The availability of large data sets has allowed researchers to uncover complex properties such as large-scale fluctuations and heterogeneities in many networks, leading to the breakdown of standard theoretical frameworks and models. Until recently these systems were considered as haphazard sets of points and connections. Recent advances have generated a vigorous research effort...(展开全部)

With the ability to integrate a large number of cores on a single chip, research into on-chip networks to facilitate communication becomes increasingly important. On-chip networks seek to provide a scalable and high-bandwidth communication substrate for multi-core and many-core architectures. High bandwidth and low latency within the on-chip network must be achieved while fitti...(展开全部)

This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way, applications of these tools to real-worl...(展开全部)

This book deals with the analysis of the structure of complex networks by combining results from graph theory, physics, and pattern recognition. The book is divided into two parts. 11 chapters are dedicated to the development of theoretical tools for the structural analysis of networks, and 7 chapters are illustrating, in a critical way, applications of these tools to real-worl...(展开全部)

作者介绍 娜塔莉·恩赖特·杰格（Natalie Enright Jerger ） 多伦多大学电子计算机工程系教授，现任加拿大计算架构领域首席科学家（Research Chair），多伦多大学“珀西-爱德华-哈特”特等教授，ACM杰出会员，IEEE高级会员。研究领域包括片上网络、多核/众核计算架构、存储架构等。 图沙·克里希纳（Tushar Krishna ） 佐治亚理工大学电子计算机工程系助理教授，在计算机体系结构领域的顶级会议和期刊发表论文40余篇，他引4000余次，其中多篇论文被选为最佳论文。他所开发的Garnet 2.0 片上网络模拟器目前被全球百余个研究机构使用。研究领域包括计算架构、片上网络、人工智能加速器等。 白俐翾（Li-shiuan Peh） 新加坡国立大学计算机科学系首席教授，IEEE Fellow，ACM杰出科学家，2011年入选...(展开全部)

A variety of different social, natural and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many eleme...(展开全部)

A variety of different social, natural and technological systems can be described by the same mathematical framework. This holds from the Internet to food webs and to boards of company directors. In all these situations a graph of the elements of the system and their interconnections displays a universal feature. There are only few elements with many connections, and many eleme...(展开全部)