Table 3 Input parameter ranges identified through empirical validation

From: Diffusion and persistence of false rumors in social media networks: implications of searchability on rumor self-correction on Twitter

\({p}_{biased}\) \(\pi\) \({p}_{tie}\) \(h\)
Min Avg Max Min Avg Max Min Avg Max Min Avg Max
Cluster 1 (24.1%)
 0.730 0.894 0.990 0.010 0.054 0.180 0.000 0.079 0.190 0.820 0.963 1.000
Cluster 2 (21.5%)
 0.440 0.793 0.940 0.010 0.047 0.170 0.000 0.031 0.140 0.190 0.396 0.670
Cluster 3 (11.3%)
 0.190 0.301 0.370 0.010 0.048 0.070 0.000 0.030 0.090 0.300 0.489 0.890
Cluster 4 (23.1%)
 0.860 0.885 0.920 0.120 0.197 0.390 0.000 0.016 0.070 0.340 0.659 0.750
Cluster 5 (20.0%)
 0.840 0.921 0.970 0.030 0.099 0.120 0.190 0.227 0.450 0.400 0.451 0.490