Table 3.

Properties of complex networks (datasets used in experiments)

Category	Datasets	|V|	|E|	AD	CC	$A{C}^1$	PLE	EDE	$A{C}^2$
Coauthorship	APH [100]	18,771	198,050	22.0044	0.6328	0.2013	1.4245	0.9340	0.0272
	CM [100]	23,133	93,439	8.5462	0.6417	0.1253	1.5908	0.9525	0.0459
	GQ [100]	5241	14,484	6.4560	0.5569	0.6392	1.7423	0.9341	0.0353
	HPH [100]	12,006	118,489	20.9959	0.6216	0.6295	1.5142	0.8788	0.0355
	HTH [100]	9875	25,973	5.7435	0.4816	0.2389	1.7642	0.9512	0.0244
Computer	CAD [100]	26,475	53,381	4.0326	0.2082	–0.1946	2.5086	0.8381	0.0204
	GNT [101]	62,586	147,892	4.7275	0.0055	–0.0927	2.0625	0.9485	–
	RT [100]	6474	12,572	3.8838	0.2522	–0.1818	2.4616	0.8396	0.0880
Infrastructure	CHO [102]	1467	1298	1.9976	0.0000	–0.7248	4.7986	0.9124	0.0031
	EUR [103]	1174	1417	2.5120	0.0189	0.0900	2.2170	0.9854	0.0012
	OFS [104]	2939	15,677	10.7711	0.4555	0.0489	1.7168	0.8719	0.0408
	PG [95]	4941	6594	2.6691	0.0801	0.0035	2.2468	0.9783	0.0008
	USA [105]	1574	17,215	21.9008	0.5048	–0.1134	1.5462	0.8486	0.2180
Interaction Involving People	CHS [106]	7301	55,899	15.6793	0.1794	0.3705	1.4959	0.9248	0.0696
	CRE [107]	829	1473	3.5537	0.0058	–0.1645	2.0134	0.9584	0.2364
	UCI [108]	899	7019	15.6151	0.0705	–0.0945	1.4763	0.9256	0.3739
Protein–Protein Interaction	FGS [109]	2239	6432	5.7898	0.0403	–0.3318	2.0840	0.8550	0.1025
	STL [110]	1702	3155	3.8464	0.0063	–0.2020	2.2983	0.9007	0.0257
	VDL [111]	3023	6149	4.3169	0.0715	–0.1366	2.0531	0.9235	0.0698
	YST [112]	1846	2203	2.6722	0.0708	–0.2095	2.6030	0.9398	0.0213
Offline Social	ADE [113]	2539	10,455	8.2355	0.1467	0.2513	1.5141	0.9824	0.2997
	IFT [114]	410	2765	13.4878	0.4558	0.2258	1.4241	0.9677	0.1945
	JAZ [115]	198	2742	27.6970	0.6175	0.0202	1.3293	0.9615	0.5720
	PHY [116]	217	1839	16.9493	0.3628	0.0960	1.4928	0.9815	1.7137
	RSD [117]	241	923	7.9487	0.2192	–0.0842	1.7995	0.9748	1.4240
Online Social	AVG [118]	5155	39,285	15.5601	0.2527	–0.0957	1.5627	0.8926	0.1206
	BK [119]	58,228	214,078	7.5061	0.1734	0.0096	1.8880	0.9027	–
	DNC [120]	906	10,429	24.4617	0.5072	–0.1331	1.5529	0.8549	0.1405
	DB [121]	154,908	327,162	4.2240	0.0161	–0.1803	2.9706	0.8897	–
	EPN [122]	75,879	405,740	10.6947	0.1378	–0.0406	2.0258	0.8471	–
	FB [123]	2888	2981	2.0644	0.0272	–0.6682	25.5893	0.7087	0.0024
	G+ [123]	23628	39,194	3.3187	0.1742	–0.3887	3.9819	0.7677	0.0114
	GWL [119]	196,591	950,327	9.6681	0.2367	–0.0293	1.7307	0.9043	–
	HSS [124]	2426	16,630	16.0970	0.5401	0.0227	1.4541	0.9281	0.1029
	LMC [121]	104,103	2,193,083	42.1329	0.0544	–0.1468	1.3828	0.9003	–
	PRT [125]	10,680	24,316	4.5536	0.2659	0.2382	2.1092	0.9219	0.0112

The first column of the table is the network category, and the second one is a more specific classification. The properties measured from left to right are: number of nodes, number of edges, Average Degree, Clustering Coefficent, Assortativity Coefficient, Power Law Exponent, Edge Distribution Entropy, and Algebraic Connectivity. In each column, high values are highlighted in bold and low values are indicated by an underscore. High and low values are compared for categories by taking their mean values