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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.