Abstract
There are various kinds of networks in nature and human society, such as neural networks, social networks, road networks and the Internet. Researching the regularity of complex networks and their characteristics helps us to build suitable networks for different problems and to use complex networks to solve practical problems according to the characteristics of different networks. In this paper, we mainly analyze the properties and algorithmic implementation of random network models and small-world network models, which will provide important guidance for studying the internal mechanisms of other complex networks.
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