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Table 2 Data sets used in this work

From: Non-backtracking cycles: length spectrum theory and graph mining applications

data set

network

n

k

\(\bar {c}\)

Online social (social)

Facebook

4k

43.69

0.61

 

sdot8

77k

14.13

0.06

 

sdot9

82k

14.18

0.06

 

Epinions

76k

10.69

0.14

 

Twitter

81k

33.02

0.57

 

Wiki

7k

28.32

0.14

Coauthorship (CA)

AstroPh

19k

21.11

0.63

 

CondMat

23k

8.08

0.63

 

GrQc

5k

5.53

0.53

 

HepPh

12k

19.74

0.61

 

HepTh

10k

5.26

0.47

Peer-to-peer file-sharing (P2P)

P2P04

11k

7.35

0.01

 

P2P05

9k

7.20

0.01

 

P2P06

9k

7.23

0.01

 

P2P08

6k

6.59

0.01

 

P2P09

8k

6.41

0.01

 

P2P24

27k

4.93

0.01

 

P2P25

23k

4.82

0.01

 

P2P30

36k

4.82

0.01

 

P2P31

63k

4.73

0.01

Autonomous systems (AS)

AS331

11k

4.12

0.30

 

AS407

11k

4.10

0.29

 

AS414

11k

4.16

0.30

 

AS421

11k

4.19

0.30

 

AS428

11k

4.13

0.29

 

AS505

11k

4.13

0.29

 

AS512

11k

4.12

0.29

 

AS519

11k

4.11

0.29

 

AS526

11k

4.19

0.30

BA-1k

 

1k

13.90

0.05

CM-1k

 

1k

10.20

0.17

ER-1k

 

1k

14.99

0.15

HG-1k

 

997±2

14.72

0.82

KR-1k

 

1021±1

14.54

0.03

WS-1k

 

1k

14.00

0.67

BA-5k

 

5k

13.98

0.02

CM-5k

 

5k

11.40

0.13

ER-5k

 

5k

15.00

0.00

HG-5k

 

4982±8

14.67

0.82

KR-5k

 

4089±3

18.27

0.01

WS-5k

 

5k

14.00

0.67

BA-10k

 

10k

13.99

0.01

CM-10k

 

10k

11.97

0.12

ER-10k

 

10k

14.99

0.00

HG-10k

 

9958±15

14.96

0.83

KR-10k

 

8170±11

18.32

0.01

WS-10k

 

10k

14.00

0.67

  1. n: number of nodes in the largest connected component; 〈k〉: average degree; \(\bar {c}\): average clustering coefficient. Bottom: random graph data sets. We generate 50 graphs of each data set, for a total of 900 random graphs. Top: real networks, grouped in four data sets