Why social networks are different from other types of networks

Details Why social networks are different from other types of networks Why social networks are different from other types of networks

2003-05-26

arxiv.org/abs/cond-mat/0305612v1

Phys. Rev. E 68, 036122 (2003)

Physics

Condensed Matter

Statistical Mechanics

9 pages, 2 figures

Scientific paper

10.1103/PhysRevE.68.036122

We argue that social networks differ from most other types of networks, including technological and biological networks, in two important ways. First, they have non-trivial clustering or network transitivity, and second, they show positive correlations, also called assortative mixing, between the degrees of adjacent vertices. Social networks are often divided into groups or communities, and it has recently been suggested that this division could account for the observed clustering. We demonstrate that group structure in networks can also account for degree correlations. We show using a simple model that we should expect assortative mixing in such networks whenever there is variation in the sizes of the groups and that the predicted level of assortative mixing compares well with that observed in real-world networks.

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