TY - DATA
T1 - Data underlying the publication: Learning the mechanisms of network growth
PY - 2023/09/19
AU - Lourens Touwen
AU - Doina Bucur
AU - Remco van der Hofstad
AU - Nelly Litvak
UR - 
DO - 10.4121/0b40e329-7b33-4b8f-a289-ab6d1893b437.v1
KW - synthetic networks
KW - preferential attachment
KW - networks with fitness
KW - networks with aging
KW - uniform attachment
KW - machine learning
KW - model selection for complex networks
KW - complex networks
N2 - <p>This dataset accompanies the paper `Learning the mechanisms of network growth' by the same authors. The dataset contains 6733 networks of size 20,000 each generated in accordance to different combination of three mechanisms: fitness, aging and preferential attachment. The goal is to use machine learning to identify the combination of mechanisms that was used to create the network. The dataset includes static features from the literature and two version of our newly developed dynamic features.  network growth</p>
ER -