Table 3. Mean correlation coefficients for the nodal characteristics and the solution benefits for the experimental networks.

The three coefficients with the largest magnitude are highlighted in bold for each network type.

			Network
			ER	WS	BA	KS	DT	VD	Schools	Social Network
Nodal characteristics	Close node	d(j, F)	−0.08	−0.52	−0.37	−0.48	−0.28	−0.41	−0.30	0.11
		$C_j^D$	0.14	0.08	0.05	0.09	−0.01	0.02	0.02	0.09
		$C_j^C$	0.10	0.26	0.05	0.15	0.15	0.15	0.18	0.09
		$C_j^B$	0.14	0.15	0.05	0.04	−0.02	0.03	0.06	0.05
		$C_j^E$	0.12	0.11	0.05	0.09	0.01	0.08	−0.01	−0.07
		$C_j^P$	0.14	0.07	0.05	0.10	−0.03	−0.01	−0.00	−0.08
		$c_j^w$	0.00	−0.03	0.02	0.00	0.14	0.03	*	−0.04
	Distant node	d(i, F)	−0.46	−0.18	−0.12	−0.09	−0.07	−0.08	−0.04	−0.07
		$C_i^D$	0.17	0.03	0.08	0.05	0.29	0.30	0.08	−0.30
		$C_i^C$	0.15	−0.01	0.07	0.00	0.35	0.21	0.06	0.26
		$C_i^B$	0.19	0.03	0.07	0.03	0.20	0.20	0.07	−0.09
		$C_i^E$	0.21	0.02	0.07	0.06	−0.16	−0.01	−0.03	−0.10
		$C_i^P$	0.17	0.01	0.06	0.07	0.30	0.22	0.01	0.05
		$c_i^w$	0.08	−0.01	0.03	0.03	0.12	0.12	*	−0.08

Notes.

^*There was no variation in clustering coefficients as triplets were not common in the street networks.