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Table 2 Correlation metrics for nonsocial networks

From: Long-range degree correlations in complex networks

 

Correlation metric

Geodesic distance, m

γ

r

Airports

1

-0.1612 [-0.2160, -0.1065]

-0.2679

2

0.1332 [-0.0134, 0.2798]

-0.6291

3

-0.0467 [-0.2775, 0.1840]

-0.5655

4

-0.0553 [-0.2916, 0.1809]

-0.6014

5

0.6351 [0.2824, 0.9877]

-0.5974

E. coli

1

-0.6441 [-0.8127, -0.4756]

-0.3274

2

0.4348 [0.2096, 0.6599]

0.2695

3

-0.0173 [-0.2507, 0.2160]

-0.0304

4

0.3207 [0.0586, 0.5828]

-0.0076

5

0.1040 [-0.1330, 0.3411]

-0.0235

S. cerevisiae

1

-0.6961 [-0.7920, -0.6002]

-0.5967

2

0.5103 [0.3732, 0.6474]

0.2197

3

-0.0466 [-0.1680, 0.0749]

-0.0608

4

0.1584 [-0.0033, 0.3200]

-0.0055

5

0.2376 [0.0758, 0.3994]

-0.0041

  1. Power-law exponents from Figure 6 reported with 95% confidence intervals, and Pearson correlation scores calculated using Eq. 4.