Supply Chain Network Resilience Enhancement and Information Dissemination From the Perspective of Complex Network Theory

This paper analyzes the resilience enhancement and information dissemination of supply chain networks from the perspective of complex network theory. First, a supply chain topology model based on complex networks is constructed, and the key nodes and vulnerable links in the supply chain are identified using network structure characteristics such as node centrality and connectivity. Then, the risk resistance of the supply chain network is quantitatively evaluated using node failure simulation and network connectivity evaluation, and an optimization strategy based on the application of redundant nodes and network reconstruction is proposed to enhance the supply chain resilience under external shocks.

Authors

Institutions

Publication Details

Journal
International Journal of Intelligent Information Technologies
Published
2025-04-12
DOI
https://doi.org/10.4018/ijiit.373202
Citations
1
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
2.23

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Supply Chain Network Resilience Enhancement and Information Dissemination From the Perspective of Complex Network Theory

Qiang Zhou
1 citations
International Journal of Intelligent Information Technologies
Supply Chain Resilience and Risk Management
2.23
article

Supply Chain Network Resilience Enhancement and Information Dissemination From the Perspective of Complex Network Theory

Qiang Zhou
article en
1 citations

Abstract

This paper analyzes the resilience enhancement and information dissemination of supply chain networks from the perspective of complex network theory. First, a supply chain topology model based on complex networks is constructed, and the key nodes and vulnerable links in the supply chain are identified using network structure characteristics such as node centrality and connectivity. Then, the risk resistance of the supply chain network is quantitatively evaluated using node failure simulation and network connectivity evaluation, and an optimization strategy based on the application of redundant nodes and network reconstruction is proposed to enhance the supply chain resilience under external shocks.

International Journal of Intelligent Information TechnologiesVol. 21(1)
Sichuan University of Arts and Science (CN)
National Office for Philosophy and Social Sciences
Openalex Percentile: Top 12%
Supply Chain Resilience and Risk Management
2.23
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Supply Chain Network Resilience Enhancement and Information Dissemination From the Perspective of Complex Network Theory — Qiang Zhou · International Journal of Intelligent Information Technologies (2025) | TGRS Research Map | TGRS