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 -

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

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