Table 4 Network topology characteristics of eighteen datasets.

From: Identifying influential spreaders based on improving communication transmission model and network structure

Network

n

m

\(\overline{k}\)

kmax

\(\overline{{n_{ks} }}\)

nksmax

\(\eta_{G}\)

\(\partial_{G}\)

Type

Dolphins

62

159

5.13

12

3.16

4

0.259

1.71

Animal

Polbooks

105

441

8.40

25

4.91

6

0.488

1.51

Political

Blogs

1224

19,025

31.09

351

14.79

36

0.320

1.41

Internet

Euroroad

1174

1417

2.41

10

1.64

2

0.017

2.29

Traffic

Friendships

1858

12,534

13.49

272

7.23

20

0.141

1.54

Social

Protein

1870

2277

2.44

56

1.41

5

0.067

2.88

Biology

Hamster

2426

16,630

13.71

273

8.08

24

0.538

1.52

Social

Power

4941

6594

2.67

19

1.74

5

0.080

2.25

Power grid

As20000102

6474

13,895

4.29

1458

2.01

12

0.252

2.46

Internet

Ca-astroph

18,771

198,050

21.10

504

12.62

56

0.631

1.44

Social

RA-1

200

1945

19.45

33

13.77

14

0.097

1.34

Random

RA-2

999

4906

9.82

21

6.55

7

0.010

1.45

Random

RA-3

1999

8047

8.05

20

4.80

5

0.003

1.50

Random

RA-4

4965

12,486

5.03

14

2.82

3

0.001

1.66

Random

FR-1

500

469

1.88

13

1.21

2

0.002

3.20

Scale-free

FR-2

1000

1297

2.59

128

1.46

4

0.030

2.70

Scale-free

FR-3

3000

6893

4.59

666

2.41

12

0.125

2.30

scale-free

FR-4

5000

15,730

6.29

581

3.29

24

0.135

2.00

Scale-free

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