Bayesian nonparametrics for sparse dynamic networks
In this paper we propose a Bayesian nonparametric approach to modelling sparse time-varying networks. A positive parameter is associated to each node of a network, which models the sociability of that node. Sociabilities are assumed to evolve over time, and are modelled via a dynamic point process m...
| Main Authors: | , , , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer Nature
2023
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