Table 7 Statistics for the Italian Election dataset node features
From: Detecting bots in social-networks using node and structural embeddings
KS p–value | Mean | STD | Median | ||||
|---|---|---|---|---|---|---|---|
Not-Bot | Bot | Not-Bot | Bot | Not-Bot | Bot | ||
\(degree\_centrality\) | 1.332e–15 | 2.600e–04 | 2.874e–04 | 2.572e–03 | 1.489e–03 | 8.063e–05 | 8.063e–05 |
authority | 1.000e+00 | 1.298e–04 | 1.024e–04 | 1.134e–02 | 8.611e–05 | 2.221e–17 | 1.748e–04 |
closeness | 1.000e+00 | 2.993e–01 | 4.539e–01 | 2.292e–01 | 2.093e–01 | 2.172e–01 | 5.001e–01 |
betweenness | 1.332e–15 | 7.929e+03 | 1.356e+04 | 5.707e+04 | 1.347e+05 | 0.000e+00 | 0.000e+00 |
\(hub\_score\) | 1.000e+00 | 1.298e–04 | 1.024e–04 | 1.134e–02 | 8.611e–05 | 2.221e–17 | 1.748e–04 |
constraint | 1.332e–15 | 7.483e–01 | 8.606e–01 | 3.367e–01 | 2.930e–01 | 1.000e+00 | 1.000e+00 |
coreness | 1.332e–15 | 1.986e+00 | 1.474e+00 | 2.042e+00 | 1.561e+00 | 1.000e+00 | 1.000e+00 |
eccentricity | 1.000e+00 | 8.513e+00 | 4.277e+00 | 3.151e+00 | 3.701e+00 | 1.000e+01 | 2.000e+00 |
\(harmonic\_centrality\) | 1.000e+00 | 1.159e–01 | 1.049e–01 | 5.474e–02 | 4.228e–02 | 1.363e–01 | 1.111e–01 |
pagerank | 1.000e+00 | 7.513e–05 | 8.992e–05 | 1.160e–03 | 3.302e–04 | 4.123e–05 | 4.359e–05 |
\(nb\_mean\_degree\_centrality\) | 1.000e+00 | 9.788e–03 | 1.314e–01 | 2.077e–02 | 1.080e–01 | 3.697e–03 | 2.221e–01 |
\(nb\_min\_degree\_centrality\) | 1.000e+00 | 7.782e–03 | 1.311e–01 | 2.087e–02 | 1.084e–01 | 1.129e–03 | 2.221e–01 |
\(nb\_max\_degree\_centrality\) | 1.000e+00 | 1.307e–02 | 1.322e–01 | 2.198e–02 | 1.071e–01 | 5.563e–03 | 2.221e–01 |
\(nb\_std\_degree\_centrality\) | 1.332e–15 | 6.683e–03 | 2.365e–03 | 6.537e–03 | 3.973e–03 | 4.903e–03 | 7.982e–04 |
\(nb\_mean\_authority\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 7.639e–16 | 1.000e+00 |
\(nb\_min\_authority\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 2.132e–16 | 1.000e+00 |
\(nb\_max\_authority\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 1.124e–15 | 1.000e+00 |
\(nb\_std\_authority\) | 1.332e–15 | 1.321e–15 | 4.721e–16 | 1.271e–15 | 7.874e–16 | 9.460e–16 | 1.582e–16 |
\(nb\_mean\_closeness\) | 1.000e+00 | 3.573e–01 | 7.583e–01 | 2.622e–01 | 3.518e–01 | 2.594e–01 | 1.000e+00 |
\(nb\_min\_closeness\) | 1.000e+00 | 3.464e–01 | 7.525e–01 | 2.656e–01 | 3.595e–01 | 2.471e–01 | 1.000e+00 |
\(nb\_max\_closeness\) | 1.000e+00 | 3.689e–01 | 7.660e–01 | 2.605e–01 | 3.422e–01 | 2.742e–01 | 1.000e+00 |
\(nb\_std\_closeness\) | 1.332e–15 | 2.897e–02 | 3.192e–02 | 2.835e–02 | 3.601e–02 | 2.395e–02 | 2.580e–02 |
\(nb\_mean\_betweenness\) | 1.000e+00 | 6.903e+05 | 2.331e+06 | 9.976e+05 | 1.785e+06 | 2.028e+05 | 3.794e+06 |
\(nb\_min\_betweenness\) | 1.000e+00 | 5.158e+05 | 2.298e+06 | 9.820e+05 | 1.818e+06 | 3.925e+04 | 3.794e+06 |
\(nb\_max\_betweenness\) | 1.000e+00 | 1.025e+06 | 2.418e+06 | 1.307e+06 | 1.735e+06 | 3.349e+05 | 3.794e+06 |
\(nb\_std\_betweenness\) | 1.332e–15 | 6.359e+05 | 2.543e+05 | 6.725e+05 | 4.793e+05 | 4.200e+05 | 7.926e+04 |
\(nb\_mean\_hub\_score\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 7.639e–16 | 1.000e+00 |
\(nb\_min\_hub\_score\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 2.132e–16 | 1.000e+00 |
\(nb\_max\_hub\_score\) | 1.000e+00 | 7.069e–03 | 5.861e–01 | 8.378e–02 | 4.926e–01 | 1.124e–15 | 1.000e+00 |
\(nb\_std\_hub\_score\) | 1.332e–15 | 1.321e–15 | 4.721e–16 | 1.271e–15 | 7.874e–16 | 9.460e–16 | 1.582e–16 |
\(nb\_mean\_constraint\) | 1.000e+00 | 1.923e–01 | 1.673e–01 | 2.834e–01 | 3.030e–01 | 5.828e–02 | 3.630e–04 |
\(nb\_min\_constraint\) | 1.000e+00 | 1.489e–01 | 1.208e–01 | 2.757e–01 | 2.743e–01 | 2.362e–02 | 3.630e–04 |
\(nb\_max\_constraint\) | 1.000e+00 | 2.660e–01 | 2.239e–01 | 3.516e–01 | 3.794e–01 | 8.484e–02 | 3.630e–04 |
\(nb\_std\_constraint\) | 1.332e–15 | 1.427e–01 | 2.290e–01 | 1.698e–01 | 1.794e–01 | 6.639e–02 | 2.427e–01 |
\(nb\_mean\_coreness\) | 1.000e+00 | 6.150e+00 | 2.254e+00 | 3.997e+00 | 2.689e+00 | 6.688e+00 | 1.000e+00 |
\(nb\_min\_coreness\) | 1.000e+00 | 5.190e+00 | 1.839e+00 | 4.016e+00 | 2.336e+00 | 4.000e+00 | 1.000e+00 |
\(nb\_max\_coreness\) | 1.000e+00 | 6.918e+00 | 2.752e+00 | 4.465e+00 | 3.535e+00 | 8.000e+00 | 1.000e+00 |
\(nb\_std\_coreness\) | 1.332e–15 | 2.131e+00 | 1.956e+00 | 1.869e+00 | 1.836e+00 | 2.041e+00 | 1.708e+00 |
\(nb\_mean\_eccentricity\) | 1.000e+00 | 7.858e+00 | 3.543e+00 | 3.018e+00 | 3.868e+00 | 9.000e+00 | 1.000e+00 |
\(nb\_min\_eccentricity\) | 1.000e+00 | 7.641e+00 | 3.397e+00 | 2.948e+00 | 3.658e+00 | 9.000e+00 | 1.000e+00 |
\(nb\_max\_eccentricity\) | 1.000e+00 | 8.065e+00 | 3.652e+00 | 3.124e+00 | 4.037e+00 | 9.000e+00 | 1.000e+00 |
\(nb\_std\_eccentricity\) | 1.332e–15 | 5.647e–01 | 5.983e–01 | 3.995e–01 | 4.102e–01 | 5.774e–01 | 5.964e–01 |
\(nb\_mean\_harmonic\_centrality\) | 1.000e+00 | 1.425e–01 | 1.754e–01 | 6.839e–02 | 7.325e–02 | 1.677e–01 | 2.221e–01 |
\(nb\_min\_harmonic\_centrality\) | 1.000e+00 | 1.348e–01 | 1.720e–01 | 6.665e–02 | 7.481e–02 | 1.523e–01 | 2.221e–01 |
\(nb\_max\_harmonic\_centrality\) | 1.000e+00 | 1.505e–01 | 1.802e–01 | 7.232e–02 | 7.251e–02 | 1.767e–01 | 2.221e–01 |
\(nb\_std\_harmonic\_centrality\) | 1.332e–15 | 1.960e–02 | 1.792e–02 | 1.241e–02 | 1.241e–02 | 1.909e–02 | 1.839e–02 |
\(nb\_mean\_pagerank\) | 1.000e+00 | 2.587e–03 | 6.013e–02 | 8.740e–03 | 4.995e–02 | 8.351e–04 | 1.021e–01 |
\(nb\_min\_pagerank\) | 1.000e+00 | 2.156e–03 | 6.006e–02 | 8.771e–03 | 5.003e–02 | 2.732e–04 | 1.021e–01 |
\(nb\_max\_pagerank\) | 1.000e+00 | 3.318e–03 | 6.030e–02 | 8.864e–03 | 4.975e–02 | 1.169e–03 | 1.021e–01 |
\(nb\_std\_pagerank\) | 1.332e–15 | 1.482e–03 | 5.014e–04 | 1.556e–03 | 8.927e–04 | 1.017e–03 | 1.503e–04 |