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Table 1 Correlation metrics for online social networks

From: Long-range degree correlations in complex networks

 

Correlation metric

Geodesic distance, m

γ

r

Advogato

1

-0.1892 [-0.2156, -0.1637]

-0.0996

2

-0.0505 [-0.0735, -0.0275]

-0.0559

3

-0.7166 [-0.7969, -0.6363]

-0.2308

4

-0.8408 [-0.9624, -0.7191]

-0.1687

5

-0.7448 [-0.8722, -0.6174]

-0.0783

Gnutella

1

0.1066 [0.0110, 0.2021]

0.0516

2

0.5027 [0.3675, 0.6379]

0.2904

3

-0.0776 [-0.1140, -0.0411]

-0.0914

4

-0.3106 [-0.3920, -0.2292]

-0.1609

5

-0.8001 [-1.0349, -0.5654]

-0.2012

Wiki-Vote

1

-0.0889 [-0.1042, -0.0737]

-0.0721

2

0.0371 [0.0195, 0.0547]

-0.0665

3

-0.6191 [-0.6754, -0.5628]

-0.2600

4

-0.2129 [-0.3050, -0.1208]

-0.1022

5

-0.1051 [-0.2475, 0.0374]

-0.0438

  1. Power-law exponents from Figure 5 reported with 95% confidence intervals, and Pearson correlation scores calculated using Eq. 4.