Synthetic Dynamic Networks (from Aging, Fitness Preferential Attachment mechanisms)
Introduced by Touwen et al. in Learning the mechanisms of network growth
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. net
Benchmarks
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Synthetic Dynamic Networks
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Time-cohort Dynamic Features + Static Features
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Papers
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