Table 1.

Mean network characteristic values for empirical and calibrated synthetic networks

	Target values†	Mean degree	Variance of degrees	Gini of degrees	Degree assortativity	Modularity	Triadic clustering coefficient	Focal clustering coefficient	SLCC	ℓLCC
Karnataka villages (mean)		8.39	27.55	0.37	0.33	0.79	0.64	0.19	0.99	4.10
Synthetic networks defined by:
Degree-Assortative	r = 0.283	7.86	0.49	88.82	0.28	0.29	0.01	0.00	1.00	3.61
	r = 0.421	7.86	0.20	7.73	0.42	0.28	0.01	0.01	1.00	3.65
	r = 0.797	7.86	0.20	7.73	0.80	0.28	0.01	0.01	1.00	3.88
Triadic Clustering	c = 0.249	7.75	0.54	62.63	−0.05	0.46	0.29	0.07	0.73	3.71
	c = 0.284	7.75	0.30	18.33	−0.05	0.47	0.34	0.08	0.99	3.70
	c = 0.353	7.75	0.32	20.96	−0.06	0.50	0.43	0.09	0.99	3.69
Focal Clustering	t = 0.163	7.95	0.20	7.73	0.26	0.66	0.37	0.16	1.00	4.09
	t = 0.249	7.95	0.37	27.83	0.50	0.82	0.43	0.25	0.90	4.61
	t = 0.326	7.95	0.47	44.10	0.68	0.90	0.45	0.33	0.80	5.23
Power-Law	γ = 3	7.78	0.55	186.20	−0.04	0.36	0.04	0.02	1.00	3.35
	γ = 2.5	7.40	0.65	263.29	−0.10	0.36	0.09	0.03	0.99	3.16
	γ = 2	6.18	0.44	49.96	−0.22	0.37	0.21	0.04	0.99	3.07

S_LCC: fraction of all nodes within the largest connected component. ℓ_LCC: average path length between nodes in the LCC.

^†Target values are the minimum, median and maximum values from the 75 Karnataka village networks.