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

Summary: Complexity in human transportation networks: A comparative analysis of worldwide air
transportation and global cargo ship movements
Grastivia O'Danleyman
and Jake Jungbin Lee
Department of Engineering Sciences and Applied Mathematics,
Northwestern University, Evanston, Illinois, USA.
Hanno Seebens and Bernd Blasius
ICBM, University of Oldenburg, 26111 Oldenburg, Germany
Dirk Brockmann
Department of Engineering Sciences and Applied Mathematics & Northwestern Institute on Complex Systems,
Northwestern University, Evanston, Illinois, USA
We present a comparative network theoretic analysis of the two largest global transportation
networks: The worldwide air-transportation network (WAN) and the global cargoship network
(GCSN). We show that both networks exhibit striking statistical similarities despite significant dif-
ferences in topology and connectivity. Both networks exhibit a discontinuity in node and link
betweenness distributions which implies that these networks naturally segragate in two different
classes of nodes and links. We introduce a technique based on effective distances, shortest paths
and shortest-path trees for strongly weighted symmetric networks and show that in a shortest-
path-tree representation the most significant features of both networks can be readily seen. We
show that effective shortest-path distance, unlike conventional geographic distance measures,

  

Source: Amaral, Luis A.N. - Department of Chemical and Biological Engineering, Northwestern University

 

Collections: Physics; Biology and Medicine