Algorithm 2.

Procedure MakePopulation

	Input: pop. size n, attribute distributions {αi}i=1..m, degree distributions ${\left\{{\mathbb{X}}_j\right\}}_{j=1..l}$.
	Output: ({xi}, {dj}, V)i=1..m;j=1..l.
1	V = {v1, v2, . . ., vn}.
2	foreach vk in V do
3	// Set the attributes of individual vk.
4	foreach i in 1...m do
5	xi(vk) := an element of Ui randomly selected via αi.
6	// Set individual vk's ideal ego net size at each layer.
7	foreach j in 1...l do
8	$s≔f_j^C\left(v\right)$, the layer-j ideal degree class of vk.
9	τ := χj;s the corresponding layer-j ideal degree distribution, taken from $Range\left({\mathbb{X}}_j\right)$.
10	dj(vk) := an integer randomly chosen via pdf τ.
11	return ({xi}, {dj}, V)i=1..m;j=1..i.