Large-scale structural organization of social networks

TL;DR

This paper investigates the large-scale structural organization of social networks, emphasizing the importance of correlations between individual ties and group positions through scaling analysis and numerical methods.

Contribution

It introduces a focus on correlations between friendship ties and social group positions as key factors in social network models.

Findings

Correlations between friendship ties and group positions are significant.

Scaling analysis reveals structural patterns in social networks.

Numerical computations support the importance of these correlations.

Abstract

The characterization of large-scale structural organization of social networks is an important interdisciplinary problem. We show, by using scaling analysis and numerical computation, that the following factors are relevant for models of social networks: the correlation between friendship ties among people and the position of their social groups, as well as the correlation between the positions of different social groups to which a person belongs.