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Efficient target strategies for contagion in scale-free networks
Wenqi Duan1, Zhong Chen, Zengrong Liu
1Antai School of Management, Shanghai Jiao Tong University, Shanghai 200052, China.
Summary
Targeting highly connected nodes, known as the hub strategy, significantly enhances contagion processes in scale-free networks. This approach optimizes the spread of information or products by focusing on influential network hubs.
Area of Science:
- Network Science
- Complex Systems
- Information Diffusion
Background:
- Organizations aim to optimize contagion processes for efficiency, such as in new product diffusion.
- Scale-free networks are common in real-world systems, influencing spread dynamics.
- Identifying optimal target nodes is crucial for effective contagion strategies.
Purpose of the Study:
- To introduce and evaluate an effective contagion strategy for scale-free networks.
- To investigate the impact of targeting highly connected nodes (hubs) on contagion.
- To analyze how network properties and initial conditions affect the proposed strategy.
Main Methods:
- Development of the 'hub strategy' that prioritizes targeting nodes with high connectivity.
- Introduction of a 'biased level' parameter to quantify the strategy's focus on hubs.
- Analysis of contagion effects under varying network heterogeneity and initial adopter rates.
Main Results:
- The hub strategy demonstrably improves contagion effects in scale-free networks.
- The optimal biased level initially rises with network heterogeneity, then declines.
- Increasing the initial adopter rate consistently reduces the required biased level.
Conclusions:
- Targeting highly connected nodes is an effective method for enhancing contagion.
- Network heterogeneity and initial adoption rates are key factors influencing strategy effectiveness.
- Degree correlations within networks can potentially diminish the need for a high biased level.
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