Spatial Dependence in Directed Preferential-Attachment Networks
This work extends Preferential attachment (PA) to spatial co-movement through a directed PA model whose out- and in-node weights follow temporally persistent Gaussian-process lognormal fields, and derives a strictly concave inverse that recovers the in-weights from terminal degree proportions.