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The networks in this dataset can be loaded directly from graph-tool with:(and likewise for the other networks available.)import graph_tool.all as gt g = gt.collection.ns["sp_colocation/Thiers13"]
Network of colocations between peoople, based on the information on which RFID readers received information from the RFID tags. Namely, we define two individuals to be in co-presence if the same exact set of readers have received signals from both individuals during a 20s time window.
We release here 6 co-presence data sets. The contexts in which these data were collected are: a workplace, with data collected in two different years (InVS13, InVS15), a hospital (LH10), a primary school (LyonSchool), a scientific conference (SFHH) and a high school (Thiers13). In each case, the data on face-to-face contacts during the same timeframe has already been released. In all cases except SFHH, metadata is also available concerning the department, class or status of each individual.
|Thiers13||332||18,613,039||112126.74||42531.96||268.38||41.01||0.42||0.98||2||0.99||Undirected||Unipartite||id group||time||5.1 MiB||52.4 MiB||46.9 MiB||44.2 MiB|
|SFHH||403||1,417,485||7034.67||4468.01||370.80||0.89||0.11||0.97||2||1.00||Undirected||Unipartite||id group||time||989 KiB||4.4 MiB||4.0 MiB||3.6 MiB|
|LyonSchool||242||6,594,492||54499.93||20291.95||220.54||2.47||0.20||0.97||2||1.00||Undirected||Unipartite||id group||time||1.8 MiB||19.8 MiB||18.0 MiB||14.9 MiB|
|LH10||81||150,126||3706.81||3408.10||43.50||14.87||0.32||0.77||3||0.90||Undirected||Unipartite||id group||time||146 KiB||429 KiB||401 KiB||371 KiB|
|InVS15||232||1,283,194||11062.02||7547.35||160.74||2.83||0.26||0.88||3||0.94||Undirected||Unipartite||id group||time||907 KiB||4.0 MiB||3.7 MiB||3.1 MiB|
|InVS13||100||394,247||7884.94||5777.65||83.70||4.19||0.26||0.90||2||0.95||Undirected||Unipartite||id group||time||341 KiB||1.1 MiB||1.0 MiB||969 KiB|