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Table 6 Statistics for the Twibot-20 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

\(degree\_centrality\)

4.943e–44

9.343e–05

1.038e–04

3.744e–05

1.823e–05

1.096e–04

1.096e–04

\(eigen\_centrality\)

6.661e–15

2.197e–03

1.609e–03

1.081e–02

5.991e–03

3.455e–04

2.455e–04

authority

6.661e–15

3.907e–03

2.857e–03

1.971e–02

1.092e–02

5.899e–04

4.249e–04

closeness

6.921e–26

1.621e–01

1.557e–01

1.478e–01

1.376e–01

1.357e–01

1.326e–01

betweenness

4.359e–13

1.159e+07

8.453e+06

3.630e+07

1.332e+07

4.197e+06

4.145e+06

constraint

3.140e–44

1.106e–01

6.239e–02

1.770e–01

8.422e–02

4.762e–02

4.762e–02

coreness

6.661e–15

2.133e+00

2.039e+00

7.300e–01

6.973e–01

2.000e+00

2.000e+00

eccentricity

6.022e–19

1.239e+01

1.260e+01

2.193e+00

2.054e+00

1.300e+01

1.300e+01

\(harmonic\_centrality\)

1.880e–22

1.301e–01

1.285e–01

2.682e–02

2.413e–02

1.330e–01

1.304e–01

pagerank

1.030e–45

3.936e–05

4.427e–05

1.596e–05

8.721e–06

4.620e–05

4.667e–05

\(nb\_mean\_degree\_centrality\)

8.629e–66

3.435e–05

2.045e–05

3.757e–05

2.390e–05

1.424e–05

1.143e–05

\(nb\_min\_degree\_centrality\)

1.870e–57

2.058e–05

7.918e–06

3.346e–05

1.576e–05

5.220e–06

5.220e–06

\(nb\_max\_degree\_centrality\)

7.669e–05

1.115e–04

1.147e–04

6.168e–05

6.732e–05

1.096e–04

1.096e–04

\(nb\_std\_degree\_centrality\)

1.786e–34

2.482e–05

2.699e–05

1.720e–05

1.812e–05

2.278e–05

2.278e–05

\(nb\_mean\_eigen\_centrality\)

7.283e–46

1.657e–03

1.111e–03

4.441e–03

4.378e–03

2.899e–04

1.534e–04

\(nb\_min\_eigen\_centrality\)

1.809e–49

3.513e–04

1.642e–04

1.658e–03

7.329e–04

4.484e–05

2.256e–05

\(nb\_max\_eigen\_centrality\)

1.711e–12

1.407e–02

1.302e–02

4.770e–02

5.357e–02

2.529e–03

1.835e–03

\(nb\_std\_eigen\_centrality\)

3.918e–26

3.551e–03

3.109e–03

1.086e–02

1.278e–02

6.618e–04

4.372e–04

\(nb\_mean\_authority\)

4.629e–45

2.948e–03

1.975e–03

8.057e–03

7.930e–03

5.009e–04

2.624e–04

\(nb\_min\_authority\)

4.315e–48

6.211e–04

2.904e–04

3.000e–03

1.297e–03

7.740e–05

3.840e–05

\(nb\_max\_authority\)

2.780e–12

2.522e–02

2.324e–02

8.752e–02

9.805e–02

4.401e–03

3.122e–03

\(nb\_std\_authority\)

4.177e–25

6.357e–03

5.545e–03

1.988e–02

2.334e–02

1.147e–03

7.546e–04

\(nb\_mean\_closeness\)

2.358e–64

1.383e–01

1.316e–01

6.769e–02

6.307e–02

1.252e–01

1.203e–01

\(nb\_min\_closeness\)

2.352e–64

1.342e–01

1.283e–01

6.798e–02

6.335e–02

1.217e–01

1.174e–01

\(nb\_max\_closeness\)

1.973e–19

1.627e–01

1.589e–01

6.488e–02

5.961e–02

1.512e–01

1.488e–01

\(nb\_std\_closeness\)

2.381e–09

8.135e–03

8.000e–03

3.175e–03

2.270e–03

8.072e–03

7.936e–03

\(nb\_mean\_betweenness\)

9.559e–45

8.612e+06

6.439e+06

1.395e+07

1.386e+07

3.244e+06

2.797e+06

\(nb\_min\_betweenness\)

3.294e–57

1.618e+06

2.413e+05

6.376e+06

2.046e+06

0.000e+00

0.000e+00

\(nb\_max\_betweenness\)

1.554e–15

7.376e+07

8.260e+07

1.399e+08

1.603e+08

4.678e+07

4.851e+07

\(nb\_std\_betweenness\)

2.458e–13

1.866e+07

1.974e+07

3.275e+07

3.919e+07

1.136e+07

1.120e+07

\(nb\_mean\_constraint\)

1.489e–56

6.876e–01

8.155e–01

3.463e–01

2.185e–01

8.615e–01

8.854e–01

\(nb\_min\_constraint\)

5.360e–09

9.423e–02

8.746e–02

1.783e–01

1.661e–01

4.762e–02

4.762e–02

\(nb\_max\_constraint\)

1.870e–57

8.220e–01

9.699e–01

3.657e–01

1.625e–01

1.000e+00

1.000e+00

\(nb\_std\_constraint\)

9.267e–57

2.307e–01

2.669e–01

1.295e–01

9.025e–02

2.562e–01

2.728e–01

\(nb\_mean\_coreness\)

5.296e–58

1.558e+00

1.325e+00

6.183e–01

3.437e–01

1.286e+00

1.200e+00

\(nb\_min\_coreness\)

1.810e–52

1.242e+00

1.035e+00

5.561e–01

2.246e–01

1.000e+00

1.000e+00

\(nb\_max\_coreness\)

3.123e–01

2.755e+00

2.745e+00

5.408e–01

5.244e–01

3.000e+00

3.000e+00

\(nb\_std\_coreness\)

5.627e–08

5.106e–01

5.357e–01

2.499e–01

2.175e–01

5.118e–01

5.145e–01

\(nb\_mean\_eccentricity\)

6.843e–59

1.302e+01

1.339e+01

2.180e+00

2.035e+00

1.359e+01

1.381e+01

\(nb\_min\_eccentricity\)

4.205e–11

1.161e+01

1.179e+01

1.876e+00

1.757e+00

1.200e+01

1.200e+01

\(nb\_max\_eccentricity\)

1.056e–52

1.325e+01

1.357e+01

2.195e+00

2.056e+00

1.400e+01

1.400e+01

\(nb\_std\_eccentricity\)

5.160e–10

4.977e–01

4.892e–01

1.921e–01

1.574e–01

4.781e–01

4.781e–01

\(nb\_mean\_harmonic\_centrality\)

2.640e–60

1.206e–01

1.164e–01

2.587e–02

2.202e–02

1.221e–01

1.177e–01

\(nb\_min\_harmonic\_centrality\)

9.593e–61

1.164e–01

1.130e–01

2.419e–02

2.081e–02

1.184e–01

1.147e–01

\(nb\_max\_harmonic\_centrality\)

1.554e–15

1.459e–01

1.449e–01

2.974e–02

2.742e–02

1.497e–01

1.474e–01

\(nb\_std\_harmonic\_centrality\)

7.633e–09

8.423e–03

8.349e–03

2.776e–03

2.289e–03

8.416e–03

8.275e–03

\(nb\_mean\_pagerank\)

5.759e–68

1.374e–05

8.420e–06

1.456e–05

9.474e–06

5.861e–06

4.926e–06

\(nb\_min\_pagerank\)

1.009e–67

8.174e–06

3.664e–06

1.225e–05

5.819e–06

2.744e–06

2.708e–06

\(nb\_max\_pagerank\)

7.704e–44

4.215e–05

4.254e–05

2.019e–05

2.163e–05

4.192e–05

4.073e–05

\(nb\_std\_pagerank\)

9.750e–24

9.424e–06

9.844e–06

5.811e–06

6.044e–06

8.424e–06

8.401e–06

\(in\_degree\_centrality\)

3.201e–36

5.101e–05

5.159e–05

2.302e–05

1.122e–05

5.220e–05

5.220e–05

\(out\_degree\_centrality\)

3.822e–167

4.280e–05

5.283e–05

2.122e–05

1.013e–05

5.220e–05

5.220e–05

\(in\_degree\)

3.201e–36

9.771e+00

9.883e+00

4.409e+00

2.149e+00

1.000e+01

1.000e+01

\(out\_degree\)

3.822e–167

8.198e+00

1.012e+01

4.065e+00

1.940e+00

1.000e+01

1.000e+01