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. Author manuscript; available in PMC: 2017 Dec 1.
Published in final edited form as: Neuroimage. 2016 Sep 2;143:70–81. doi: 10.1016/j.neuroimage.2016.09.003

Table 2.

Consistent small-world network properties across animals. The small-world (SW) metric was calculated as a ratio of the relative clustering coefficient (CC) to the relative characteristic path length (PL). Relative CC and PL were calculated as a ratio of the average values from the actual data (A) to that of randomly generated permutations (R). As small-world networks exhibit higher local clustering and similar path lengths compared to random networks, we would expect CC > 1 and PL = 1. A SW value significantly greater than 1 indicates that the network exhibited small-world properties. μ = mean, SE = Standard Error.

Animal CCA CCR CCA
CCR
PLA PLR PLA
PLR
SW
[CCA/CCR]
[PLA/PLR]
1 0.123 0.101 1.221 0.853 0.841 1.013 1.206
2 0.063 0.049 1.281 0.891 0.888 1.003 1.277
3 0.094 0.069 1.365 0.889 0.887 1.002 1.362
4 0.055 0.047 1.161 0.912 0.912 1.000 1.161
5 0.129 0.106 1.213 0.843 0.825 1.021 1.187
6 0.120 0.075 1.596 0.884 0.881 1.004 1.590
μ 0.097 0.075 1.306 0.879 0.872 1.007 1.297
SE 0.013 0.010 0.065 0.011 0.013 0.003 0.066