Dynamic Evolution Analysis of Digital Technology Multilayer Convergence Networks DOI Creative Commons

Qianying Wang,

Tingli Liu, Tingyang Huang

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(10), P. 421 - 421

Published: Oct. 9, 2024

This paper constructs a digital technology multilayer convergence network model to explore the mechanisms of convergence. The analysis is based on patent data from China’s A-share listed companies 2012 2021. results show continuous increase in scale and structural complexity, with intensified cross-domain interactions. company collaboration subnetwork evolved decentralization more centralized structure, while expanded became increasingly complex. Core technologies maintained dominant positions, co-evolution between showed sustained development. study reveals intricate interdependencies technological collaboration, providing theoretical insights practical implications for innovation strategic decision-making.

Language: Английский

Co-evolution dynamics between information and epidemic with asymmetric activity levels and community structure in time-varying multiplex networks DOI
Xiaoxiao Xie, Liang’an Huo

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 181, P. 114586 - 114586

Published: Feb. 19, 2024

Language: Английский

Citations

3
A Two-Layer Network Model of the Evolution of Public Risk Perception of Emerging Technologies DOI Creative Commons
Xiaqun Liu,

Xiaoyue Qiu,

Yaming Zhuang

et al.

Heliyon, Journal Year: 2025, Volume and Issue: unknown, P. e42391 - e42391

Published: Jan. 1, 2025

Language: Английский

Citations

0
Effects of positive and negative social reinforcement on coupling of information and epidemic in multilayer networks DOI
Liang’an Huo,

Lin Liang,

Xiaomin Zhao

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(4)

Published: April 1, 2025

The spread of epidemics is often accompanied by the epidemic-related information, and two processes are interdependent interactive. A social reinforcement effect frequently emerges during transmission both epidemic information. While prior studies have primarily examined role positive in this process, influence negative has largely been neglected. In paper, we incorporate effects establish a two-layer dynamical model to investigate interactive coupling mechanism information transmission. Heaviside step function utilized describe reinforcements actual process. microscopic Markov chain approach used dynamic evolution outbreak threshold derived. Extensive Monte Carlo numerical simulations demonstrate that while alters promotes their spread, does not change but significantly impedes both. addition, publishing more accurate through official channels, intensifying quarantine measures, promoting vaccines treatments for outbreaks, enhancing physical immunity can also help contain epidemics.

Language: Английский

Citations

0
Evolutionary modeling and analysis of opinion exchange and epidemic spread among individuals DOI Creative Commons
Rong Zeng, Xinghua Chang, Bo Liu

et al.

Frontiers in Physics, Journal Year: 2024, Volume and Issue: 12

Published: Nov. 27, 2024

The opinions of individuals within a group about an ongoing epidemic play crucial role in the dynamics spread. People’s acceptance others' also changes with changing situation and communication between individuals, how individuals' views on epidemics affect spread has become unresolved issue. In this study, we construct two-layer coupled network that integrates Hegselmann-Krause (HK) continuous opinion model model. This framework takes into account evolutionary game among group. We investigate dynamic interaction exchange derive threshold using Quasi-Mean-Field (QMF) approach. results indicate under different infection rates, spontaneously form varying levels epidemic, which turn evolve final states for higher rate, faster positive unified forms. Promoting can, to some extent, inhibit epidemic. However, due diversity complexity information real world, phenomenon “delayed prevention” often occurs.

Language: Английский

Citations

2
The coupled dynamics of information-behavior-epidemic propagation considering the heterogeneity of adoption thresholds and network structures in multiplex networks DOI

Xiaoxiao Xie,

Liang’an Huo

Physica A Statistical Mechanics and its Applications, Journal Year: 2024, Volume and Issue: 647, P. 129928 - 129928

Published: Aug. 1, 2024

Language: Английский

Citations

1
Coupled Awareness-epidemic Spreading with the Consideration of Self-isolation Behavior DOI
Jiajun Xian, Teng Wang, Wei Zhang

et al.

Physica Scripta, Journal Year: 2024, Volume and Issue: 99(10), P. 105256 - 105256

Published: Aug. 27, 2024

Abstract Epidemic transmission and the associated awareness diffusion are fundamentally interactive. There has been a burgeoning interest in exploring coupled epidemic-awareness dynamic. However, current research predominantly focuses on self-protection behavior stimulated by awareness, paying less attention to self-isolation behavior. Given constraints of government-mandated quarantine measures, spontaneous actions assume greater significance long-term response epidemics. In response, we propose awareness-epidemic spreading model with consideration subsequently employ Micro Markov Chain Approach analyze model. Extensive experiments show that can effectively raise epidemic threshold reduce final outbreak scale. Notably, multiplex networks positive inter-layer correlation, inhibitory effect is greatest. Moreover, there exists metacritical point, only when probability exceeds critical value this will increase probability. addition, growth average degree virtual-contact layer point. This emphasizes significant role curbing transmission, providing valuable perspectives for prevention through interplay spreading.

Language: Английский

Citations

1
A coupled model of information-epidemic considering heterogeneity in individual activity levels in multiple networks DOI
Xiaoxiao Xie, Liang’an Huo, Yingying Cheng

et al.

Communications in Nonlinear Science and Numerical Simulation, Journal Year: 2024, Volume and Issue: unknown, P. 108552 - 108552

Published: Dec. 1, 2024

Language: Английский

Citations

1
Dynamic Evolution Analysis of Digital Technology Multilayer Convergence Networks DOI Creative Commons

Qianying Wang,

Tingli Liu, Tingyang Huang

et al.

Systems, Journal Year: 2024, Volume and Issue: 12(10), P. 421 - 421

Published: Oct. 9, 2024

This paper constructs a digital technology multilayer convergence network model to explore the mechanisms of convergence. The analysis is based on patent data from China’s A-share listed companies 2012 2021. results show continuous increase in scale and structural complexity, with intensified cross-domain interactions. company collaboration subnetwork evolved decentralization more centralized structure, while expanded became increasingly complex. Core technologies maintained dominant positions, co-evolution between showed sustained development. study reveals intricate interdependencies technological collaboration, providing theoretical insights practical implications for innovation strategic decision-making.

Language: Английский

Citations

0