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Christoph Heemann
Seclusion
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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 10 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
23.12B
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
10
Strength Share (vs Direct Neighbours)
- This Post (0.82%)
- Plastic Palace People (2) (1.85%)
- A Mouse Orchestra (0.82%)
- H.N.A.S. (0.82%)
- Hirsch Quadrat (0.82%)
- Hollywood Dream Trip (0.82%)
- In Camera (2) (0.82%)
- Ultra (3) (0.82%)
- Vogelscheià Und Seine VerrÃ1⁄4ckten Kröten (0.82%)
Dominant nodes (excluded from chart)CURRENT 93 66.67%Christoph Heemann 24.90%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- CURRENT 93 (9.09%)
- Christoph Heemann (9.09%)
- A Mouse Orchestra (9.09%)
- H.N.A.S. (9.09%)
- Hirsch Quadrat (9.09%)
- Hollywood Dream Trip (9.09%)
- In Camera (2) (9.09%)
- Plastic Palace People (2) (9.09%)
- Ultra (3) (9.09%)
- Vogelscheià Und Seine VerrÃ1⁄4ckten Kröten (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 4, 8:47 PM
Analyzing Network Connections...
👁️ 29 Views
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