The Corruption Atlas
Topographic · Degree centrality · Seed 118400
Reading the Atlas
Each peak is one entity — a person, a firm, a political body, or a foreign interest. Its diameter encodes degree of influence: how many other entities it is connected to in the public record. The wider the peak, the more threads run through it.
The ridges between peaks are shared categories — the same donor bucket, the same lobbying roster, the same procurement stream. Hot ridges (red) carry the heaviest weight. Dim ridges (gold) still count; they just carry less.
What the Topography Shows
Clusters at the centre are the dense ridges — groups of entities that share many of the same connections. These are not accusations, they are observations: in the public record, these entities travel together.
Isolated nodes on the perimeter are the foothills — smaller entities that still surface, but without the web of ties that define the interior. Pan, zoom, and filter to trace a thread from the coast inland.
data/network_analysis/influence_network.json (200 nodes,
12,408 edges). Nodes are ranked by degree centrality — the number
of distinct edges incident to each node. The top 80 are laid out with
Fruchterman–Reingold force-directed placement, 60 iterations, deterministic
from SYSTEM_SEED=118400 so the same map renders identically
across reloads. Edge weights are normalized into 5 buckets by the
weight field (count of shared categories). Entity
classification is rule-based on type + label keywords; any
misclassification can be reported and the renderer will re-filter without
changing the underlying data. Rendered subset:
data/corruption_map_top80.json (~397 KB).