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Due to the increasingly complex and interconnected nature of global supplychain networks (SCNs), a recent strand of research has applied network sciencemethods to model SCN growth and subsequently analyse various topologicalfeatures, such as robustness. This paper provides: (1) a comprehensive reviewof the methodologies adopted in literature for modelling the topology androbustness of SCNs; (2) a summary of topological features of the real worldSCNs, as reported in various data driven studies; and (3) a discussion on thelimitations of existing network growth models to realistically represent theobserved topological characteristics of SCNs. Finally, a novel perspective isproposed to mimic the SCN topologies reported in empirical studies, throughfitness based generative network models.

Network Science approach to Modelling Emergence and Topological Robustness of Supply Networks: A Review and Perspective