复杂网络大家名著：Complex Networks---Principles, Methods and Applications书籍配套数据

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.

复杂网络大家名著：Complex Networks---Principles, Methods and Applications书籍配套代码

This is NetBunch, the collection of software for network analysis accompanying the book: "Complex Networks: Principles, Methods and Application" V. Latora, V. Nicosia, G. Russo, Cambridge University Press (2017), ISBN: 9781107103184 https://www.cambridge.org/9781107103184 NetBunch includes all the programs implementing the algorithms described in the Appendices of the book, and several more. If you use a program included in NetBunch, please add a citation to the textbook above and to the relevant References indicated in the corresponding source files.

复杂网络大家名著：Complex Networks---Principles, Methods and Applications

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.

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