Emergence of clustering, correlations, and communities in a social network model
| dc.creator | Boguna, Marian | |
| dc.creator | Pastor-Satorras, Romualdo | |
| dc.creator | Diaz-Guilera, Albert | |
| dc.creator | Arenas, Alex | |
| dc.date | 2003-09-10 | |
| dc.date | 2003-10-13 | |
| dc.date.accessioned | 2026-07-07T02:53:23Z | |
| dc.date.available | 2026-07-07T02:53:23Z | |
| dc.description | We propose a simple model of social network formation that parameterizes the tendency to establish acquaintances by the relative distance in a representative social space. By means of analytical calculations and numerical simulations, we show that the model reproduces the main characteristics of real social networks: non- vanishing clustering coefficient, assortative degree correlations, and the emergence of a hierarchy of communities. Our results highlight the importance of communities in the understanding of the structure of social networks. | |
| dc.identifier | https://arxiv.org/abs/cond-mat/0309263 | |
| dc.identifier | http://arxiv.org/abs/cond-mat/0309263 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/22196 | |
| dc.subject | Statistical Mechanics | |
| dc.subject | Disordered Systems and Neural Networks | |
| dc.title | Emergence of clustering, correlations, and communities in a social network model | |
| dc.type | text |