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Emanuel (26)
Thränenkind
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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.
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
11
Strength Share (vs Direct Neighbours)
- This Post (1.80%)
- Matthias (68) (7.21%)
- Nils Groth (7.21%)
- Hannes (42) (4.05%)
- Maximilian Forst (4.05%)
- Daniel Zorn (1.80%)
- Michael Blum (1.80%)
- Michael Schindl (1.80%)
- S. Blazek (1.80%)
- Florian (42) (1.80%)
- Pesten (5) (1.80%)
Dominant nodes (excluded from chart)Thränenkind 64.86%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Thränenkind (8.33%)
- Daniel Zorn (8.33%)
- Michael Blum (8.33%)
- Michael Schindl (8.33%)
- S. Blazek (8.33%)
- Florian (42) (8.33%)
- Hannes (42) (8.33%)
- Matthias (68) (8.33%)
- Maximilian Forst (8.33%)
- Nils Groth (8.33%)
- Pesten (5) (8.33%)
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 1, 8:14 AM
Analyzing Network Connections...
👁️ 16 Views
Related Content
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