A spatial model for social networks
Physics and Society
2009-11-11 v2
Abstract
We study spatial embeddings of random graphs in which nodes are randomly distributed in geographical space. We let the edge probability between any two nodes to be dependent on the spatial distance between them and demonstrate that this model captures many generic properties of social networks, including the ``small-world'' properties, skewed degree distribution, and most distinctively the existence of community structures.
Cite
@article{arxiv.physics/0505128,
title = {A spatial model for social networks},
author = {Ling Heng Wong and Philippa Pattison and Garry Robins},
journal= {arXiv preprint arXiv:physics/0505128},
year = {2009}
}
Comments
To be published in Physica A (2005)