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We present a comparative network theoretic analysis of the two largest globaltransportation networks: The worldwide air-transportation network (WAN) and theglobal cargoship network (GCSN). We show that both networks exhibit strikingstatistical similarities despite significant differences in topology andconnectivity. Both networks exhibit a discontinuity in node and linkbetweenness distributions which implies that these networks naturally segragatein two different classes of nodes and links. We introduce a technique based oneffective distances, shortest paths and shortest-path trees for stronglyweighted symmetric networks and show that in a shortest-path-treerepresentation the most significant features of both networks can be readilyseen. We show that effective shortest-path distance, unlike conventionalgeographic distance measures, strongly correlates with node centralitymeasures. Using the new technique we show that network resilience can beinvestigated more precisely than with contemporary techniques that are based onpercolation theory. We extract a functional relationship between nodecharacteristics and resilience to network disruption. Finally we discuss theresults, their implications and conclude that dynamic processes that evolve onboth networks are expected to share universal dynamic characteristics.

Complexity in human transportation networks: A comparative analysis of worldwide air transportation and global cargo ship movements