Network Profile
View Network Math
Overall Strength
1.25%
of network15 )
Direct Connections
6
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 ($in) = max(1, 3) =
3
Inbound ($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 10 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
2.12 × 1015
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
10
Strength Share (vs Direct Neighbours)
1.25%
(2.12 × 1015 overall)
This Post (1.25%) Jeramie Kling (23.41%) Johan Jansson (8.86%) Heads For The Dead (4.99%) Wombbath (4.99%) Jonny Pettersson (2.22%) Ralf Hauber (1.25%) Håkan Stuvemark (1.25%) Thomas von Wachenfeldt (1.25%) Erik Bevenrud (0.55%)
Dominant nodes (excluded from chart) Ed Warby 50.00%
Influence Share (vs Direct Neighbours)
This Post (9.09%) Heads For The Dead (9.09%) Wombbath (9.09%) Ed Warby (9.09%) Johan Jansson (9.09%) Erik Bevenrud (9.09%) Ralf Hauber (9.09%) Jeramie Kling (9.09%) Håkan Stuvemark (9.09%) Jonny Pettersson (9.09%) Thomas von Wachenfeldt (9.09%)
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, 4:51 AM
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Depth: 1 Level
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Depth: 7 Levels
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