Abstract
We propose a probabilistic growth model for transport networks which
employs a balance between popularity of nodes and the physical distance
between nodes. By comparing the degree of each node in the model network
and the World Airline Network (WAN), we observe that the difference
between the two is minimized for alpha approximate to 2. Interestingly,
this is the value obtained for the node-node correlation function in the
WAN. This suggests that our model explains quite well the growth of
airline networks.
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