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 ($in) = max(1, 3) =
3
Inbound ($out) = max(1, 3) =
3
// 2. Node Base Values
Base Strength (PV) = $in × $out = 3 × 3 =
9
Base Influence (IV) = $in ÷ $out = 3 ÷ 3 =
1
// 3. Network Exponential Values (accumulating 14 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
32.23T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
14
Strength Share (vs Direct Neighbours)
This Post (3.52%) Brick Layer Cake (6.25%) Todd Trainer (6.25%) Steve Björklund (3.52%) Judd Danby (1.56%) Steve Almaas (1.56%) Terry Katzman (1.56%) Todd Gruenberg (1.56%) Paul Hiraga (1.56%) Tony Pucci (1.56%) Gerard Jean Boissy (1.56%) J. Christopher (1.56%) Jimmy Petroski (1.56%)
Dominant nodes (excluded from chart) Breaking Circus 47.27% Rifle Sport 19.14%
Influence Share (vs Direct Neighbours)
This Post (6.67%) Breaking Circus (6.67%) Brick Layer Cake (6.67%) Judd Danby (6.67%) Steve Almaas (6.67%) Terry Katzman (6.67%) Todd Gruenberg (6.67%) Rifle Sport (6.67%) Paul Hiraga (6.67%) Todd Trainer (6.67%) Tony Pucci (6.67%) Gerard Jean Boissy (6.67%) J. Christopher (6.67%) Jimmy Petroski (6.67%) Steve Björklund (6.67%)
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, 2:54 AM
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