ArticleEntropy (Basel, Switzerland)2023
Threshold Cascade Dynamics in Coevolving Networks.
Article in Entropy (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Characterizing Information Propagation in Social Media with Branching Processes.Entropy (Basel, Switzerland) · 2026Article
- Distinguishing mechanisms of social contagion from local network view.Npj complexity · 2025Article
- Three-Stage Cascade Information Attenuation for Opinion Dynamics in Social Networks.Entropy (Basel, Switzerland) · 2024Article
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Authors and funding
2 authors.
Funding
Abstract
We study the coevolutionary dynamics of network topology and social complex contagion using a threshold cascade model. Our coevolving threshold model incorporates two mechanisms: the threshold mechanism for the spreading of a minority state such as a new opinion, idea, or innovation and the network plasticity, implemented as the rewiring of links to cut the connections between nodes in different states. Using numerical simulations and a mean-field theoretical analysis, we demonstrate that the coevolutionary dynamics can significantly affect the cascade dynamics. The domain of parameters, i.e., the threshold and mean degree, for which global cascades occur shrinks with an increasing network plasticity, indicating that the rewiring process suppresses the onset of global cascades. We also found that during evolution, non-adopting nodes form denser connections, resulting in a wider degree distribution and a non-monotonous dependence of cascades sizes on plasticity.
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Registered trials
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