Analyzing Network Connections...
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Depth: 7 Levels
Network Profile
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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, 3) = 3 $outbound = max(1, 2) = 2 // 2. Node Base Values (Local connection strength) Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6 Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5 // 3. Exponential Network Values (accumulating 13 direct neighbours) Network_Strength (CV) = Base_PV * (Π Neighbour_PVs) = 5.09T Network_Influence (TV) = Base_IV * (Π Neighbour_IVs) = 17.522899
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart) Rijksmonumenten in Zoelen 36.99% Zoelen 29.68%
Influence Share (vs Direct Neighbours)
8.23%
(17.522899 overall)
Connected Network Hierarchy
Connection Health Audit (Red = broken 1-way link)
Last calculated: May 7, 9:59 AM
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Landgraaf, Limburg, Netherlands