Comprehensive Evaluation Method of Digital Economy Development Level Based on Complex Network Model.


Journal

Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357

Informations de publication

Date de publication:
2022
Historique:
received: 08 04 2022
revised: 15 05 2022
accepted: 18 05 2022
entrez: 10 6 2022
pubmed: 11 6 2022
medline: 14 6 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35685151
doi: 10.1155/2022/4999178
pmc: PMC9173923
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4999178

Informations de copyright

Copyright © 2022 Xingjun Shi.

Déclaration de conflit d'intérêts

The author declares that there are no conflicts of interest.

Références

Nature. 1998 Jun 4;393(6684):440-2
pubmed: 9623998

Auteurs

Xingjun Shi (X)

Zhejiang Industry and Trade Vocational College, Wenzhou, Zhejiang 325002, China.

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Classifications MeSH