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This page contains the datasets and the Matlab code implementing the SocialAU algorithm. To execute SocialAU you need to download the MATLAB Tensor Toolbox Version 2.6, of Bader et al., Available online.

Matlab code of SocialAU

Synthetic networks
The file Tmega.mat contains the adjacency matrices MU, MI, MW of users, items, keywords, respectively, and the associated tensor Tmega of size n x m x r =10^6.

Analogously for the files Tgiga.mat, Ttera.mat and Tpeta.mat

TpetadensityTest.mat contains also the tensor Tpeta with increasing number of edges 500K, 1M, 2M, 4M, 8M, 16M, 32M

TV series networks contains the tensor and the two dimensional matrices of users, items, keywords in the file TensorTVSeries.mat, to be imported in the Matlab environment, along with the .csv files generated from the tweets.