Authors: Yu Awaya, Vijay Krishna
Published on: February 07, 2024
Impact Score: 8.12
Arxiv code: Arxiv:2402.05276
Summary
- What is new: The discovery that the rate of adoption is the same across all acyclic networks.
- Why this is important: Spreading information effectively among agents for efficient coordination in adopting new technology with positive externalities.
- What the research proposes: A planner informs a seed agent, enabling the diffusion of information through a social network.
- Results: The structure of the network influences the diffusion speed, but the adoption rate remains consistent across all acyclic networks.
Technical Details
Technological frameworks used: Graph theory and social network analysis.
Models used: Information diffusion models.
Data used: Synthetic acyclic social network structures.
Potential Impact
Social media platforms, marketing firms, and technology adoption consultancies could benefit or need to adapt their strategies based on these insights.
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