Knowledge on the move: Reconstructing scientists' mobility network
- Giacomo Vaccario
- Network theory , Data science , Science of science , Agent based models
- February 21, 2025

The researchers studied how group interactions affect the emergence of consensus in a spin system. They found that group interactions amplify small initial opinion biases, accelerate the formation of consensus, and lead to a drift of the average magnetization. The model considers groups of agents represented by hyperedges of different sizes in a hypergraph. The heterogeneity of group sizes is controlled by a parameter β. The study aims to understand the impact of β on reaching consensus. The researchers used computer simulations and an analytic approach to study the dynamics of the average magnetization.
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The study models the impact of environmental consciousness on the supply-demand relationship between firms and customers. Environmental consciousness can lead to supply-demand deficits, but customers forming unconditional supply links and firms improving their environmental-friendly production can mitigate these deficits. The results show that this approach can inform policies to reduce both supply-demand deficits and environmental pollution.
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The R&D network of 14,000 firms over 25 years was reconstructed to understand how network embeddedness affects innovation potential. This study found that firms with higher weighted k-core centrality have a higher innovation output. This means that being well-connected in the network can lead to more patents.
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