Digital Media Internet Modeling System under Computer Artificial Intelligence Technology

Abstract

With the continuous expansion of network scale, the hierarchical and modular characteristics of network structure are becoming increasingly prominent. The traditional single-layer network research paradigm has certain limitations in characterizing the complex relationships between various network systems. Analyzing and constructing models for multi-layer networks has gradually become an important direction in complex network research. The author proposes a multi-layer network model for the Internet and the significance of constructing multi-layer network models in the field of the Internet, based on the characteristics of the multi-layer network structure presented in the application process of the Internet. By analyzing the characteristics of internet data, a multi-layer network model covering three types of networks, namely the internet infrastructure layer, business application layer, and user account layer, was designed. The experimental results show that the average shortest path lengths of the three networks, namely routing relationship network, web hyperchain network, and email address network, are 3.8, 2.9, and 1.7, respectively. Due to the existence of inter layer edges in multi-layer networks, nodes can reach each other across layers in addition to intra layer edges. Experimental results show that the average shortest path length of the three networks has been shortened to some extent, with values of 3.1, 2.7, and 1.6, respectively. On the basis of the single-layer network generation model, a layer correlation method for multi-layer networks was designed, and the model construction of multi-layer networks was achieved.