Network Profile
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Node & Network Strength Details
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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 ($in) = max(1, 4) =
4
Inbound ($out) = max(1, 4) =
4
// 2. Node Base Values
Base Strength (PV) = $in × $out = 4 × 4 =
16
Base Influence (IV) = $in ÷ $out = 4 ÷ 4 =
1
// 3. Network Exponential Values (accumulating 4 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
331.8K
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Base Node Strength
16
Base Node Influence
1
Connected Nodes
4
Strength Share (vs Direct Neighbours)
This Post (9.04%) Tony Barrett (5.08%) Sid Barrett (2.26%) Alan Hoey (2.26%)
Dominant nodes (excluded from chart) Drogheda Brass Band 81.36%
Influence Share (vs Direct Neighbours)
This Post (20.00%) Tony Barrett (20.00%) Sid Barrett (20.00%) Alan Hoey (20.00%) Drogheda Brass Band (20.00%)
Connected Network (How neighbours affect this node)
Top Network Boosters (Highest Multipliers)
Weakest Connections (Lowest Multipliers)
Connection Health Audit (Red = broken 1-way link)
Last calculated math cycle: May 5, 1:48 AM
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Analyzing Network Connections...
Most Relevant
Most Integral
Depth: 1 Level
Depth: 2 Levels
Depth: 3 Levels
Depth: 4 Levels
Depth: 5 Levels
Depth: 6 Levels
Depth: 7 Levels
Dublin, County Dublin, Ireland
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