
InVS13

InVS15

LH10

LyonSchool

Thiers13


Contact

0.333

0.305

0.351

0.643

0.431

Copresence

0.415

0.348

0.449

0.806

0.683

Sampling 1

0.361

0.344

0.436

0.749

0.515

Sampling 2

0.388

0.271

0.403

0.175

0.084

Sampling 3

0.286

0.205

0.437

0.042

0.071

Null model

0.022

0.010

0.061

0.046

0.010

 For each data set we compute the cosine similarity between the neighbourhoods of each nodes from each daily network, averaged for all nodes and all pairs of daily networks. The neighbourhood of a node n is defined as the vector of the link weights between n and every other nodes (if the link does not exist the weight is set to zero). We compare the values obtained for the contact data, the copresence data, and for the networks generated by each sampling method of the copresence data, averaged over 100 realisations for each sampling method. For reference, we also compute as null model the average similarity when links in the contact data are shuffled randomly within each daily network.