Table 4.

The final spreading scopes F(t_c) for the nine real networks under different ranking algorithms. n is the total number of nodes, P is the ratio of the number of source spreaders and β is the infection rate.

Datasets	Algorithms	Final spreading scopes	Time steps	n	β	P
OClinks	DC	0.157	39	1899	0.02	0.0053
	BC	0.14	35
	EC	0.146	35
	LR	0.157	31
	PR	0.138	42
	FA	0.163	40
	CR	0.188	36
Ego-Facebook	DC	0.383	54	4039	0.01	0.0025
	BC	0.381	52
	EC	0.298	58
	LR	0.302	51
	PR	0.384	40
	FA	0.374	56
	CR	0.396	33
Soc-Epinions	DC	0.107	41	75879	0.01	0.0001
	BC	0.105	46
	EC	0.106	42
	LR	0.105	43
	PR	0.108	41
	FA	0.105	43
	CR	0.110	40
Wiki-Vote	DC	0.288	35	7115	0.01	0.0014
	BC	0.292	45
	EC	0.301	42
	LR	0.296	42
	PR	0.292	41
	FA	0.296	36
	CR	0.305	34
Ca-HepPh	DC	0.124	41	12008	0.01	0.0008
	BC	0.123	61
	EC	0.115	53
	LR	0.119	44
	PR	0.119	55
	FA	0.120	40
	CR	0.129	39
Email-Enron	DC	0.095	45	36692	0.01	0.0003
	BC	0.102	43
	EC	0.105	40
	LR	0.102	44
	PR	0.101	46
	FA	0.099	44
	CR	0.106	41
Ca-CondMat	DC	0.355	66	23133	0.05	0.0004
	BC	0.0.47	56
	EC	0.355	48
	LR	0.349	66
	PR	0.350	63
	FA	0.355	55
	CR	0.365	48
Ca-GrQc	DC	0.141	49	5242	0.06	0.0019
	BC	0.146	48
	EC	0.167	48
	LR	0.172	51
	PR	0.153	45
	FA	0.168	51
	CR	0.182	41
Email-Eu-core	DC	0.398	34	1005	0.01	0.01
	BC	0.383	35
	EC	0.357	41
	LR	0.406	37
	PR	0.362	40
	FA	0.407	37
	CR	0.430	33