ACTIONABLE INTELLIGENCE REPORT ---------- Social Network Analysis Metrics ------------- Time point 1 Player Eigenvector Degree Predicted Centrality Centrality Level t2 00.552 5.000 3 m4 00.361 2.000 2 m3 00.361 2.000 2 t1 00.352 2.000 1 m1 00.300 3.000 2 m2 00.244 3.000 1 r2 00.228 1.000 3 r1 00.228 1.000 4 h22 00.216 2.000 2 h12 00.092 1.000 1 Betweenness Between/Degree t2 68.000 13.600 3 t1 58.000 29.000 1 m1 54.000 18.000 2 m2 34.000 11.333 1 m4 18.000 9.000 2 h22 18.000 9.000 2 m3 18.000 9.000 2 r2 18.000 18.000 3 h12 18.000 18.000 1 r1 18.000 18.000 4 Gould-Fernandez total brokerage score t2 9.0 3 m1 2.0 2 m2 2.0 1 t1 1.0 1 m4 0.0 2 h22 0.0 2 m3 0.0 2 r2 0.0 3 h12 0.0 1 r1 0.0 4 Network Community Structure Number of algorithm iterations = 2 Number of communities: 2 Player Community r1 5 m3 5 m4 5 r2 5 t2 5 t1 5 h22 8 m1 8 m2 8 h12 8 Time point 2 Player Eigenvector Degree Predicted Centrality Centrality Level m2 00.471 5.000 1 m4 00.418 3.000 2 m3 00.418 3.000 2 t2 00.401 5.000 3 m1 00.300 3.000 2 h22 00.250 2.000 2 t1 00.230 2.000 1 h12 00.155 1.000 1 r2 00.135 1.000 3 r1 00.135 1.000 4 Betweenness Between/Degree t2 52.000 10.400 3 m2 46.000 9.200 1 m1 26.000 8.666 2 m3 25.999 8.666 2 t1 25.999 12.999 1 m4 25.999 8.666 2 r2 18.000 18.000 3 h22 18.000 9.000 2 h12 18.000 18.000 1 r1 18.000 18.000 4 Gould-Fernandez total brokerage score t2 9.0 3 m2 8.0 1 m1 2.0 2 m3 1.0 2 t1 1.0 1 m4 1.0 2 r2 0.0 3 h22 0.0 2 h12 0.0 1 r1 0.0 4 Network Community Structure Number of algorithm iterations = 6 Number of communities: 1 Player Community r1 5 m3 5 m4 5 r2 5 t2 5 t1 5 h22 5 m1 5 m2 5 h12 5 Time point 3 Player Eigenvector Degree Predicted Centrality Centrality Level m1 00.469 3.000 2 m2 00.469 3.000 2 t2 00.414 4.000 3 h22 00.361 2.000 1 t1 00.327 2.000 3 m3 00.327 2.000 2 m4 00.146 1.000 2 r1 00.146 1.000 4 h12 0.000 0.000 1 Betweenness Between/Degree t2 38.000 9.500 3 m3 23.000 11.500 2 t1 23.000 11.500 3 m1 21.000 7.000 2 m2 21.000 7.000 2 m4 14.000 14.000 2 h22 14.000 7.000 1 r1 14.000 14.000 4 h12 0.000 NaN 1 Gould-Fernandez total brokerage score t2 6.0 3 m1 2.0 2 m2 2.0 2 t1 1.0 3 m3 1.0 2 h22 0.0 1 m4 0.0 2 h12 0.0 1 r1 0.0 4 Network Community Structure Number of algorithm iterations = 14 Number of communities: 2 Player Community r1 8 m3 8 m4 8 t2 8 t1 8 h22 8 m1 8 m2 8 h12 3 ----- Detain List (Based on Network at Time point 1) ----- Simulator-SNA-generated Optimal Arrest Sequence: Arrest_Priority Extinction_Risk Eigenvector_Centrality Player_Name 1 00.697 00.352 r2 2 0.000 00.552 r1 3 0.000 00.361 m3 4 0.000 00.361 m4 5 0.000 00.300 t2 6 0.000 00.244 t1 7 0.000 00.228 h22 8 0.000 00.228 m1 9 0.000 00.216 m2 10 0.000 00.092 h12 ---- Surveil List (Based on Network at Time point 2) ------ SNA-generated Successor Prediction(s): r2 will succeed r2. m1 will succeed r1 SNA-predicted Influential Player Attempting to Hide (highest ratio of betweenness centrality-to-degree centrality): t1 SNA-predicted Rising Stars (Based on Time points 1 and 2): r1 is a Rising Star m4 is a Rising Star r2 is a Rising Star t1 is a Rising Star ------------------- Interdict List -------------------- To Be Completed --- Network Resiliency Index (Recovery Time) --- (assumes arrests were made just after time point 2) Connectivity Index at latest time = 2.518 Connectivity Index prior to arrests = 3.166 Network Resiliency Index = 00.114 or about 8.713 weeks.