Influence, inertia, and independence: a diffusion model for temporal social networks
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Date
2024-05-08Type
- Journal Article
ETH Bibliography
yes
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Abstract
In this work, we propose a diffusion model for temporal social networks and relate it to other well-known models of social influence by investigating its formal properties. The model establishes dyadic influence weights based on two antagonistic components: the susceptibility to be influenced (or, conversely, inertia with respect to the status quo) and becoming independent of prior influence. The proposed model generalizes the Friedkin-Johnsen model by the inertia with respect to the current influence relationships. We show that this generalization is an over-parameterization for static but not for dynamic influence networks. These findings suggest that the model at hand expands the set of existing social influence models in a non-trivial way. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000673031Publication status
publishedExternal links
Journal / series
The Journal of Mathematical SociologyVolume
Pages / Article No.
Publisher
Taylor & FrancisSubject
Diffusion model; social influence; social networks; temporal networksMore
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ETH Bibliography
yes
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