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Multiscale Planar Graph Generation
[article]
2019
arXiv
pre-print
The study of network representations of physical, biological, and social phenomena can help us better understand the structural and functional dynamics of their networks and formulate predictive models of these phenomena. However, due to the scarcity of real-world network data owing to factors such as cost and effort required in collection of network data and the sensitivity of this data towards theft and misuse, engineers and researchers often rely on synthetic data for simulations, hypothesis
arXiv:1802.09617v2
fatcat:euyxreozynglflkmi2y64j27fu