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Øyvind Wærnes
Nergard
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Network Profile
Overall Strength
0.15%
of network
(2.83 × 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 12 direct neighbours)
Network Strength (CV) = Node PV × (Π Neighbour PVs) =
2.83 × 1017
Network Influence (TV) = Node IV × (Π Neighbour IVs) =
1.0698
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)
0.15%
(2.83 × 1017 overall)
- This Post (0.15%)
- Nergard (6.35%)
- Nils K. Rue (1.84%)
- Michele Luppi (1.35%)
- Ralf Scheepers (1.35%)
- Elize Ryd (0.34%)
- Andreas Nergård (0.15%)
- Tony Mills (0.15%)
- Guttorm Nergård (0.15%)
- Torger Nergård (0.15%)
- Michael Eriksen (0.15%)
Dominant nodes (excluded from chart)Michael Vescera 74.31%Jørn Lande 13.56%
Influence Share (vs Direct Neighbours)
- This Post (7.65%)
- Michael Vescera (8.19%)
- Jørn Lande (7.65%)
- Nergard (7.65%)
- Elize Ryd (7.65%)
- Michele Luppi (7.65%)
- Ralf Scheepers (7.65%)
- Nils K. Rue (7.65%)
- Andreas Nergård (7.65%)
- Tony Mills (7.65%)
- Guttorm Nergård (7.65%)
- Torger Nergård (7.65%)
- Michael Eriksen (7.65%)
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, 3:02 AM
Analyzing Network Connections...
👁️ 27 Views
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