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Episode Six
John Kerrison
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Network Profile
Overall Strength
0.44%
of network
(1.06 × 1017)
Direct Connections
4
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 13 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
1.06 × 1017
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
13
Strength Share (vs Direct Neighbours)
0.44%
(1.06 × 1017 overall)
- This Post (0.44%)
- Peter Robinson (2.72%)
- Graham Dimmock (0.44%)
- Sheila Carter (0.44%)
- Tony Lander (0.44%)
- Graham Carter Dimmock (0.44%)
- Harvey Shield (0.44%)
- Tom Marshall (6) (0.44%)
- Tony Tacon (0.44%)
Dominant nodes (excluded from chart)Mick Underwood 35.29%Episode Six 21.35%Ian Gillan 21.35%Roger Glover 8.82%John Gustafson 6.97%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Roger Glover (7.14%)
- Peter Robinson (7.14%)
- John Gustafson (7.14%)
- Episode Six (7.14%)
- Mick Underwood (7.14%)
- Ian Gillan (7.14%)
- Graham Dimmock (7.14%)
- Sheila Carter (7.14%)
- Tony Lander (7.14%)
- Graham Carter Dimmock (7.14%)
- Harvey Shield (7.14%)
- Tom Marshall (6) (7.14%)
- Tony Tacon (7.14%)
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, 1:58 AM
Analyzing Network Connections...
👁️ 41 Views
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