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Icarus Witch
Jere Jameson
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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) =
2.07T
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 (1.41%)
- Jon Rice (12.72%)
- Jon "The Charn" Rice (5.65%)
- Eric Klinger (5.65%)
- Steve Pollick (3.18%)
- Andrew D'Cagna (3.18%)
- Dave Watson (9) (1.41%)
- Jason Myers (3) (1.41%)
- John Passarelli (1.41%)
- Matthew Bizilia (1.41%)
- Quinn Lukas (1.41%)
- Steve Johnson (33) (1.41%)
Dominant nodes (excluded from chart)Icarus Witch 59.72%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- Icarus Witch (7.69%)
- Jon Rice (7.69%)
- Jon "The Charn" Rice (7.69%)
- Eric Klinger (7.69%)
- Dave Watson (9) (7.69%)
- Jason Myers (3) (7.69%)
- John Passarelli (7.69%)
- Matthew Bizilia (7.69%)
- Quinn Lukas (7.69%)
- Steve Pollick (7.69%)
- Steve Johnson (33) (7.69%)
- Andrew D'Cagna (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 5, 3:12 AM
Analyzing Network Connections...
👁️ 24 Views
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