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Found 4 papers, 2 papers with code
Framework for developing quantitative agent based models based on qualitative expert knowledge: an organised crime use-case
For the CCRM, a criminal cocaine network in the Netherlands is being modelled where the kingpin node is being removed, the goal being for the remaining agents to reorganize after the disruption and return the network into a stable state.
Learning Lie Group Symmetry Transformations with Neural Networks
The problem of detecting and quantifying the presence of symmetries in datasets is useful for model selection, generative modeling, and data analysis, amongst others.
Inferring temporal dynamics from cross-sectional data using Langevin dynamics
Our method is a 'baseline' method which initiates the development of computational models which can be iteratively enhanced through the inclusion of expert knowledge.
Protein Folding
Computational Engineering, Finance, and Science
The dynamic importance of nodes is poorly predicted by static network features
We conclude that the driver node(s) in networks are not necessarily the most well-connected or central nodes.
Physics and Society Social and Information Networks
