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Table 6 Measures of performance for the predict missing links algorithm

From: CrimeFighter Investigator: Integrating synthesis and sense-making for criminal network investigation

 

Data set

Version

Sampling

Time (s)

TP*#

TP%

FP*#

FP%

Full data set

100%

November 17

(full)

(50%)

0.219

9

42.9

12

57.1

 

al-Qaeda

(id 1–20)

(50%)

0.078

7

35.0

13

65.0

 

al-Qaeda

(full)

(25%)

63.093

288

4.9

5547

95.1

Attribute accuracy

90%

November 17

(full)

(50%)

0.235

5

35.7

9

64.3

 

al-Qaeda

(id 1–20)

(50%)

0.79

6

46.2

7

53.8

 

al-Qaeda

(full)

(25%)

37.562

165

5.1

3052

94.9

70%

November 17

(full)

(50%)

0.124

1

16.7

5

83.3

 

al-Qaeda

(id 1–20)

(50%)

0.62

5

45.5

6

54.5

 

al-Qaeda

(full)

(25%)

24.656

167

5.0

3171

95.0

Attribute completeness

90%

November 17

(full)

(50%)

0.282

5

45.5

6

54.5

 

al-Qaeda

(id 1–20)

(50%)

0.094

7

41.2

10

58.8

 

al-Qaeda

(full)

(25%)

41.344

197

4.8

3939

95.2

70%

November 17

(full)

(50%)

0.531

5

45.5

6

54.5

 

al-Qaeda

(id 1–20)

(50%)

0.079

5

41.7

7

58.3

 

al-Qaeda

(full)

(25%)

24.328

146

4.4

3167

95.6

  1. * TP = true positives, FP = false positives.