Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture

@article{Liu2019SpatialSC,
  title={Spatial Strength Centrality and the Effect of Spatial Embeddings on Network Architecture},
  author={Andrew Liu and Mason A. Porter},
  journal={Physical review. E},
  year={2019},
  volume={101 6-1},
  pages={
          062305
        }
}
For many networks, it is useful to think of their nodes as being embedded in a latent space, and such embeddings can affect the probabilities for nodes to be adjacent to each other. In this paper, we extend existing models of synthetic networks to spatial network models by first embedding nodes in Euclidean space and then modifying the models so that progressively longer edges occur with progressively smaller probabilities. We start by extending a geographical fitness model by employing… 

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