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Dataset Info

London Multiplex Transport Network

Data was collected in 2013 from the official website of Transport for London ( and manually cross-checked.

Nodes are train stations in London and edges encode existing routes between stations. Underground, Overground and DLR stations are considered (see for further details). The multiplex network used in the paper makes use of three layers corresponding to:

  1. The aggregation to a single weighted graph of the networks of stations corresponding to each underground line (e.g., District, Circle, etc)
  2. The network of stations connected by Overground
  3. The network of stations connected by DLR

Raw data and geographical coordinates of stations are provided. We also provide the multiplex networks after considering real disruptions occurring in London.

If you use this data you should cite the following paper:

Manlio De Domenico, Albert Solé-Ribalta, Sergio Gómez, and Alex Arenas, “Navigability of interconnected networks under random failures”. PNAS 111, 8351-8356 (2014)

Data preview
Source Target Value
Communities Result
Group Size Nodes
Graph Information
Basic statistics · Calculate note

N and E are the number of nodes and links. 〈k〉 and 〈d〉 are the average degree and the average distance, respectively. C and r are the average clustering coefficient and the assortative coefficient. H is the degree heterogeneity. βc is the epidemic threshold of the SIR model.

N 399
E 441
<k> 2.3659
<d> 14.2989
<C> 0.0243
r 0.1502
H 1.1597
beta_c 0.5735
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