Zhejiang Industry and Trade Vocational College, Wenzhou, Zhejiang 325002, China.
Comput Intell Neurosci. 2022 May 31;2022:4999178. doi: 10.1155/2022/4999178. eCollection 2022.
In today's economic globalization and artificial intelligence modern society, the rapid economic growth mainly relies on the vigorous development of digital information technology. Simultaneously, digital technology promotes economic revolution and produces a digital economy, which has become an important concept of China's economic development. In order to more scientifically and accurately describe the development status of my country's industrial structure and digital economy industry, this paper takes each industry of the national economy as the research object and puts forward the idea of using complex network theory to study the relationship between input and output. Based on the complex network theory, this paper analyzes the interrelationships between various industries in the complex system. By referring to the relevant data of the national economic input and output in recent years, the input-output correlation network model between the various industries in the national economic system is established. Using the method of combining statistical analysis and comparative analysis, quantitative analysis and qualitative analysis, carry out detailed and in-depth statistical analysis from the input-output correlation network model and model attributes so as to point out the status and role of various industries in the national economy and so as to analyze and study the industrial structure of the national economy.
在当今经济全球化和人工智能的现代社会，经济的快速增长主要依赖于数字信息技术的蓬勃发展。同时，数字技术推动经济革命，产生数字经济，成为中国经济发展的重要概念。为了更科学、准确地描述我国产业结构和数字经济产业的发展状况，本文以国民经济的各个行业为研究对象，提出了利用复杂网络理论研究投入产出关系的思路。本文基于复杂网络理论，分析了复杂系统中各行业之间的相互关系。通过参考近年来国民经济投入产出的相关数据，建立了国民经济系统各行业之间的投入产出关联网络模型。采用统计分析与比较分析相结合、定量分析与定性分析相结合的方法，从投入产出关联网络模型及其模型属性出发进行详细深入的统计分析，指出国民经济各行业的地位和作用，从而对国民经济产业结构进行分析研究。
