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Multilayered complex network datasets for three supply chain network archetypes on an urban road grid.


ABSTRACT: This article presents the multilayered complex network formulation for three different supply chain network archetypes on an urban road grid and describes how 500 instances were randomly generated for each archetype. Both the supply chain network layer and the urban road network layer are directed unweighted networks. The shortest path set is calculated for each of the 1 500 experimental instances. The datasets are used to empirically explore the impact that the supply chain's dependence on the transport network has on its vulnerability in Viljoen and Joubert (2017) [1]. The datasets are publicly available on Mendeley (Joubert and Viljoen, 2017) [2].

SUBMITTER: Viljoen NM 

PROVIDER: S-EPMC5767570 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Multilayered complex network datasets for three supply chain network archetypes on an urban road grid.

Viljoen Nadia M NM   Joubert Johan W JW  

Data in brief 20171221


This article presents the multilayered complex network formulation for three different supply chain network archetypes on an urban road grid and describes how 500 instances were randomly generated for each archetype. Both the supply chain network layer and the urban road network layer are directed unweighted networks. The shortest path set is calculated for each of the 1 500 experimental instances. The datasets are used to empirically explore the impact that the supply chain's dependence on the  ...[more]

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