Supplementary Data
This data file pertains to our paper "How weaponizing disinformation can bring down a city's power grid" [1].
The file presents the power distribution network data for Greater London. This network is divided into a set of 9 subnetworks, each represented by a spanning tree, with loads connected to the edges. A full description of how this data is obtained is presented in [1].
The Greater London power distribution network comprising of 9 subnetworks, each fed by one substation. The substation locations are marked by red dots.
Data File
Within the Excel file 'GreaterLondon_Power_Network.xlsx' are the data regarding the subnetwork trees, in sheets labelled as 'Greater London x', x varying from 0 to 8.
Within each of these sheets:
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The first row contains in order:
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The number of nodes (n ) in the tree,
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ID of the node closest to the coordinates of the substation, which is the root node. Node IDs are unique only within a single sheet, i.e., each sheet has IDs between 0 and (n -1).
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Each subsequent line contains information about a single edge, coded as 5 integers:
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ID of one end of the edge (between 0 and (n -1)),
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ID of the other end of the edge (between 0 and (n -1)),
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The number of buildings connected to the edge,
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Type of the edge (with 0 corresponding to the widest, i.e., motorway, and 7 corresponding to the thinnest, i.e., service). Type 8 is assigned to roads with different classes/ without classes in OpenStreetMap.
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Length of the edge in meters.
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References
[1] Gururaghav Raman, Bedoor AlShebli, Marcin Waniek, Talal Rahwan, and Jimmy Chih-Hsien Peng, "How weaponizing disinformation can bring down a city's power grid", PLOS ONE, vol. 15, no. 8, 2020. Available at https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0236517.
Cite this dataset as:
Gururaghav Raman, Bedoor AlShebli, Marcin Waniek, Talal Rahwan, and Jimmy Chih-Hsien Peng, "How weaponizing disinformation can bring down a city's power grid: Supplementary Data", 2019.