Work

Multilayer innovation network resilience: A framework for digital economy vulnerability assessment

Year: 2025

Type: article

Abstract: Innovation networks drive technological progress, yet their multilayer structures remain poorly understood in digital economy vulnerability contexts. This study develops a comprehensive framework for assessing multilayer innovation network resilience, analyzing interdependencies and disruption scenarios using China's digital economy as a representative empirical context. We construct coupled multilayer networks implementing four integrated attack strategies to identify cascading vulnerability mechanisms. Results reveal asymmetric patterns: collaboration networks show significant fragility to targeted attacks, while knowledge networks demonstrate higher resilience, especially during mature stages. Cascade failure analysis establishes that knowledge network disruptions propagate severe ecosystem-wide effects, whereas collaboration network perturbations generate limited cross-layer impacts. This asymmetry advances multilayer innovation network theory and provides practical insights for vulnerability assessment. The framework indicates that protecting critical technological knowledge should prioritize over maintaining collaborative arrangements when resources are limited, as knowledge networks constitute the essential integrative mechanism within innovation systems.

Source: iScience

DOI: 10.1016/j.isci.2025.114295

Authors: Hongjuan Zhang, Haibing Liu, Rongkai Chen

Institutions: Wuhan University of Science and Technology, Renmin University of China

Language: English

Topic: Complex Network Analysis Techniques

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,240