In this paper, we propose a model enabling the creation of a social graph corresponding to real society. The procedure uses data describing the real social relations in the community, like marital status or number of kids. Results show the power-law behavior of the distribution of links and, typical for small worlds, the independence of the clustering coefficient on the size of the graph.
@article{arxiv.2401.01152,
title = {The social graph based on real data},
author = {Tomasz M. Gwizdałła and Aleksandra Piecuch},
journal= {arXiv preprint arXiv:2401.01152},
year = {2024}
}
Comments
Preprint of the paper presented at International Conference on Computational Science, ICCS 2023, Prague