INTELLIGENCE_ANALYTICS

Find the shortest chain of connections between any two people. Like "six degrees of separation" — this shows how many intermediaries connect Person A to Person B through shared flights.

Centrality metrics reveal who holds the most power and influence in the network. Higher scores = more central to the web of connections.

Communities are tightly-knit groups detected by the Louvain algorithm. People within a community share more connections with each other than with outsiders. This reveals hidden clusters and inner circles.

A calendar heatmap showing when flights occurred. Brighter green = more flights that month. Red cells mark statistical anomalies — months with unusually high activity (more than 2 standard deviations above average).

Benford's Law says that in naturally-occurring financial data, the digit "1" appears as the first digit ~30% of the time, "2" about 17%, and so on. If the observed distribution significantly deviates from this pattern, it may indicate fabricated or manipulated numbers.

Histograms showing how flight counts and connection counts are distributed across all entities. A heavy right tail (skewness > 2) suggests a "power law" — most people have few flights/connections, but a small elite has dramatically more.

Count of entities by assigned risk level. Risk scoring factors in number of documented connections, flight frequency, involvement in legal proceedings, and association with known high-risk individuals.

How many persons have each type of evidence on record. Flight records are the primary dataset; email, court document, and testimony data significantly increase confidence in entity involvement.

Annual flight volume with key legal milestones overlaid. Spikes and drops often correlate with investigation phases, media exposure, and legal proceedings.

Ranked by number of shared flights. High co-travel frequency suggests close operational relationships. Pairs appearing 50+ times together indicate sustained, repeated contact over years.

Distribution of all 1,456 tracked entities by category. Categories are assigned based on primary public role. Politicians, celebrities, and royalty represent the most high-profile connections.

Most frequently used airports across all 1,708 flights. Includes both origins and destinations. Private airports and small fields often indicate attempts to avoid commercial scrutiny.

Measures how concentrated flight activity is among a small elite. In classic Pareto distributions, 20% of actors account for 80% of activity. Extreme concentration suggests a tightly controlled inner circle.

Compares average monthly flight volume before and after key legal milestones. Significant drops after investigations may indicate awareness of surveillance. Sustained activity during known investigation periods raises questions about perceived impunity.

Curved arcs show the 50 most-traveled flight routes. Green arcs are low-frequency routes; cyan and white arcs indicate the highest-frequency corridors. Click any arc to see route details.

Each point is an entity with 2 or more evidence types. X-axis = number of distinct evidence types on record. Y-axis = risk score (MINIMAL=1 through CRITICAL=5). Dot color indicates entity category. Size scales with evidence count. Hover for details.

Each cell shows the count of entities in that category who have that evidence type on record. Intensity scales from black (0) through dark green to bright cyan at maximum. Reveals which categories are best-documented and which evidence types are most category-specific.

Ranked by number of distinct evidence types on record. Entities with flight records, court documents, emails, and testimony simultaneously represent the highest-confidence profiles. Click any name to open their full dossier.