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Airports in Spain
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Node & Network Strength Details
How is this calculated? The math continuously tracks how strongly this post is connected to the rest of the website.
Every tag forms a network link. The pie charts below show each connected post's base strength (PV) and influence (IV) as a share of this post's direct neighbourhood.
// 1. Base variables (minimum value of 1 to prevent zero-multiplication issues)
Outbound ($in) = max(1, 1) =
1
Inbound ($out) = max(1, 1) =
1
// 2. Node Base Values
Base Strength (PV) = $in × $out = 1 × 1 =
1
Base Influence (IV) = $in ÷ $out = 1 ÷ 1 =
1
// 3. Network Exponential Values (accumulating 1 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
45
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1.8
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Base Node Strength
1
Base Node Influence
1
Connected Nodes
1
Strength Share (vs Direct Neighbours)
- This Post (2.17%)
- Riding in Spain (97.83%)
Influence Share (vs Direct Neighbours)
- This Post (35.71%)
- Riding in Spain (64.29%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Inbound Posts (1)
No other posts link to this one yet.
Last calculated math cycle: May 5, 4:15 AM
Analyzing Network Connections...
👁️ 7 Views
