v0 Research Preview: This dashboard displays snapshot data from November 2025. Methodology and parameters are starting points for community refinement. View proposed methodology or explore the data analysis.

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Geographic Decentralization Detail

Overall GDI Score51
PDI
58
JDI
45
IHI
50

Physical Distribution

How widely infrastructure is distributed across physical geography

PDI Score
58Low dispersion

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Moran's I
0.30
Measures if nearby nodes cluster together. 0 = randomly scattered, 1 = tightly clustered in hotspots.
Spatial HHI
0.025
Geographic concentration. Lower is better—0.01 means no single region dominates, 1.0 means all nodes in one place.
Effective # of Locations
62
If you removed concentration bias, the network would behave like 62 locations with equal node counts. Higher = more balanced spread.

Jurisdictional Diversity

JDI Score
45
Low dispersion
Country HHI
0.137
Jurisdictional concentration. Lower is better—0.1 means spread across many countries, 0.5+ means one country dominates.
Countries
24
Unique jurisdictions with at least one node. The largest country has 24% of all nodes.

Infrastructure Heterogeneity

IHI Score
50
Low dispersion
Org HHI
0.024
Provider concentration. Lower is better—0.01 means many small providers, 0.3+ means a few large ones control most nodes.
Hosting Providers
116
Unique organizations running nodes. The top 3 providers host 21% of all nodes.

Notes and Uncertainty

All location and provider inferences are probabilistic and imperfect. Geographic decentralization metrics should be interpreted as estimates with inherent uncertainty, not absolute measurements.

Data Sources and Methodology
  • Public node crawls and peer discovery protocols
  • IP geolocation databases (MaxMind, IPinfo)
  • Cloud provider fingerprinting via ASN and reverse DNS
  • RIPE Atlas measurements for validation
Measurement Details
  • Data snapshot: November 2025
  • Sample size: 223 nodes
  • Jurisdictions: 24 countries
  • Providers: 116 organizations
Known Limitations
  • VPN usage may distort location inferences
  • Residential nodes are underrepresented in public crawls
  • Provider identification accuracy varies by network