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John Lundine
Naked Raygun
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Network Profile
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 ($in) = max(1, 2) =
2
Inbound ($out) = max(1, 2) =
2
// 2. Node Base Values
Base Strength (PV) = $in × $out = 2 × 2 =
4
Base Influence (IV) = $in ÷ $out = 2 ÷ 2 =
1
// 3. Network Exponential Values (accumulating 12 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
1.44T
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
12
Strength Share (vs Direct Neighbours)
- This Post (1.39%)
- Pierre Kezdy (12.54%)
- Santiago Durango (8.71%)
- John Haggerty (5.57%)
- Jeff Pezzati (3.14%)
- Eric Spicer (1.39%)
- Jim Colao (1.39%)
- Bill Stephens (1.39%)
- Bobby Strange (1.39%)
- Camilo Gonzalez (1.39%)
- Fritz Doreza (1.39%)
- Marko Pezzati (1.39%)
Dominant nodes (excluded from chart)Naked Raygun 58.89%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- Naked Raygun (7.69%)
- Eric Spicer (7.69%)
- Jeff Pezzati (7.69%)
- Jim Colao (7.69%)
- John Haggerty (7.69%)
- Pierre Kezdy (7.69%)
- Santiago Durango (7.69%)
- Bill Stephens (7.69%)
- Bobby Strange (7.69%)
- Camilo Gonzalez (7.69%)
- Fritz Doreza (7.69%)
- Marko Pezzati (7.69%)
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 4, 6:19 PM
Analyzing Network Connections...
👁️ 26 Views
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