Inference of historical influence networks
- We study the romanization process of northern Africa from 50 BC till 300 AD. Our goal is to infer the communication strength between different subregions, based on the evolution of the status of cities. Herefore, we use the general inverse infection model, that infers the weights of a known underlying network, given observations of the spreading on this network. As infection process we choose the SI metapopulation model, where I stands for a city with a Roman status. To solve the minimization problem we use the particle swarm optimization algorithm with a specific choice of parameters.
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| Author: | Margarita Kostre, Vikram Sunkara, Natasa Djurdjevac ConradORCiD |
|---|---|
| Document Type: | In Proceedings |
| Parent Title (German): | International Conference on Complex Networks & Their Applications Proceedings |
| First Page: | 110 |
| Last Page: | 113 |
| Year of first publication: | 2021 |
| Page Number: | 632 |
| DOI: | https://doi.org/10.12752/8558 |
