Table 2.

Win rate evaluation of link prediction

		CHA	SPM	SBM	stacking basic	stacking basic + CH + SPM + SBM
precision	Biological	0.607	0.353	0.223	0.179	0.158
	Economic	0.653	0.527	0.354	0.249	0.244
	Informational	0.744	0.272	0.167	0.083	0.050
	Social	0.932	0.111	0.022	0.027	0.019
	Technological	0.521	0.366	0.121	0.246	0.253
	Transportation	0.349	0.491	0.360	0.434	0.423
	Mean	0.634	0.353	0.208	0.203	0.191
AUC precision	Biological	0.542	0.271	0.161	0.152	0.133
	Economic	0.669	0.556	0.332	0.278	0.275
	Informational	0.656	0.311	0.117	0.061	0.056
	Social	0.938	0.244	0.016	0.031	0.027
	Technological	0.480	0.343	0.136	0.233	0.234
	Transportation	0.414	0.434	0.377	0.394	0.411
	Mean	0.616	0.360	0.190	0.192	0.189
AUC-PR	Biological	0.611	0.234	0.193	0.118	0.082
	Economic	0.877	0.468	0.410	0.364	0.362
	Informational	0.811	0.250	0.133	0.033	0.039
	Social	0.932	0.134	0.015	0.023	0.019
	Technological	0.561	0.379	0.200	0.401	0.350
	Transportation	0.606	0.471	0.414	0.529	0.517
	Mean	0.733	0.323	0.228	0.245	0.228
AUC-ROC	Biological	0.407	0.158	0.322	0.182	0.322
	Economic	0.078	0.028	0.900	0.040	0.040
	Informational	0.367	0.044	0.483	0.189	0.339
	Social	0.927	0.411	0.026	0.904	0.905
	Technological	0.129	0.007	0.360	0.377	0.440
	Transportation	0.417	0.006	0.214	0.460	0.274
	Mean	0.387	0.109	0.384	0.359	0.387
AUC-mROC	Biological	0.550	0.223	0.165	0.116	0.079
	Economic	0.557	0.192	0.289	0.006	0.003
	Informational	0.744	0.206	0.139	0.022	0.028
	Social	0.944	0.259	0.015	0.026	0.025
	Technological	0.421	0.236	0.066	0.213	0.210
	Transportation	0.237	0.214	0.251	0.226	0.251
	Mean	0.576	0.222	0.154	0.101	0.099
NDCG	Biological	0.551	0.215	0.164	0.099	0.069
	Economic	0.577	0.117	0.368	0.005	0.002
	Informational	0.800	0.200	0.117	0.017	0.022
	Social	0.932	0.460	0.015	0.046	0.037
	Technological	0.443	0.170	0.057	0.260	0.231
	Transportation	0.297	0.154	0.243	0.294	0.271
	Mean	0.600	0.219	0.161	0.120	0.105
MCC	Biological	0.607	0.353	0.223	0.179	0.158
	Economic	0.653	0.526	0.354	0.250	0.244
	Informational	0.744	0.272	0.167	0.083	0.050
	Social	0.931	0.112	0.022	0.027	0.019
	Technological	0.521	0.369	0.124	0.249	0.257
	Transportation	0.349	0.491	0.360	0.434	0.423
	Mean	0.634	0.354	0.208	0.204	0.192

550 real-world networks of Ghasemian et al.¹ are considered. For each network and for each link prediction method, the link prediction evaluation framework is applied (10 repetitions). The table reports, for each network domain and for each evaluation measure, the win rate of each method over the networks of that domain and over the 10 repetitions. For each evaluation measure and for each link prediction method, the mean over the network domains is also reported. For each evaluation measure and for each domain, the highest mean result is highlighted in bold, as well as the highest overall mean result over the domains.