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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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 32 direct neighbours)
Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 5.08 × 1024
Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 0.50005
Outbound
11
Tags on post
Inbound
11
Posts tagging this
Connections
32
Total nodes
Base Node Strength
121
Base Node Influence
1
Strength Share (vs Direct Neighbours)
13.18%
(5.08 × 1024 overall)
Dominant nodes (excluded from chart)Switzerland 70.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 7, 1:56 PM
Zugdidi, Zugdidi Municipality, Georgia
51
