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Dan Swanö
Wounded Knee
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Analyzing Network Connections...
Network Profile
How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 31 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 1.35 × 1036
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
31
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.19%
(1.35 × 1036 overall)
Dominant nodes (excluded from chart)Dan Swanö 48.58%Bloodbath 17.13%KATATONIA 8.02%Star One 4.74%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 8, 3:27 AM
Oglala Lakota County, United States
31
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