"Seeding strategies for the diffusion in signed networks" by Matthias Müller

Topic

The study uses agent-based simulations to study how different strategies for selecting initial adopters affect the spread of ideas or behaviors in networks that contain both positive and negative relationships. It shows that in networks with many negative links, choosing highly connected individuals can actually hinder diffusion, while seeding less connected individuals leads to better spread. The study emphasizes the importance of considering both network structure and negative influences when designing effective diffusion strategies, with practical relevance for marketing, policy, and innovation adoption.