Networks constitute the backbone of complex systems, from the human brain to computer communications, transport infrastructures to online social systems, metabolic reactions to financial markets. Characterising their structure improves our understanding of the physical, biological, economic and social phenomena that shape our world. Rigorous and thorough, this textbook presents a detailed overview of the new theory and methods of network science. Covering algorithms for graph exploration, node ranking and network generation, among the others, the book allows students to experiment with network models and real-world data sets, providing them with a deep understanding of the basics of network theory and its practical applications. Systems of growing complexity are examined in detail, challenging students to increase their level of skill. An engaging pre- sentation of the important principles of network science makes this the perfect reference for researchers and undergraduate and graduate students in physics, mathematics, engineering, biology, neuroscience and social sciences.

Here you find all the data sets described and analysed in the textbook: "Complex Networks: Principles, Methods and Applications", V. Latora, V. Nicosia, G. Russo (Cambridge University Press, 2017) For each data set you find below a brief description and a list of salient properties (number of node, number of edges, etc.). All data sets All the data sets of the textbook are available for download in a single compressed file: All the data sets in the book (zip) The archive contains one folder for each dataset, The file README.txt in each folder contains some relevant information about the corresponding data set.

复杂网络的matlab代码工具箱，Complex Networks Toolbox for MatLab

c++编程中关于complex类 代码运行过 请放心使用

通过一些范例来展示架构理念，指出良好的架构，并给出本书的概要；列出进行系统分析必备的思路；给出分析系统架构所用的思维模式。 英文版

OMPLEX STOCHASTIC PROCESSES :An Introduction to Theory and Application 1974

Quadrature Signals: Complex, But Not Complicated[正交信号：复数，但不复杂]by Richard Lyons，一篇关于正交信号的经典论文，对理解复信号很有帮助，原文17页，由同行翻译成中文，本人做了排版和校对。

自定义一个示意性的复数类型complex，其中含有若干个成员函数，使用该类可以完成复数的加法以及对复数的输出。请完成类定义，并编制主函数，说明complex类对象，对定义的各成员函数进行调用。

This book intends to bridge two widely studied research areas: machine learning and complex networks. Therefore, we hope it will generate broad interests to the scientific community. This book is intended to be employed by researchers and students who are interested in machine learning and complex networks. To accomplish that, not only have we included classic knowledge but also recent research results. This book is aimed to be self-contained and to give interested readers insights on modeling, analysis, and applications of network-based machine learning techniques. We also provide pointers to the literature for further reading on each explored topic. Moreover, numerous illustrative figures and step-by-step examples help readers to understand the main ideas and implementation details

设计的复数类，含以下方法： 1、含两个复数的加、减、乘、除运算 2、与实数的加、减、乘、除运算 3、使用静态函数将两个复数的加、减、乘、除 4、使用友元函数进行复数与实数的加、减、乘、除运算