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KEBNEKAJSE
Per Lejring
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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 (2.07%)
- Göran Lagerberg (4.66%)
- Bella Linnarsson (2.07%)
- Gunnar Andersson (2.07%)
- Hassan Bah (2.07%)
- Pelle Ekman (2.07%)
- Pelle Holm (2.07%)
- Rolf Scherrer (2.07%)
- Thomas Netzler (2.07%)
- Ingemar Böcker (2.07%)
- Pelle Lindström (2.07%)
Dominant nodes (excluded from chart)KEBNEKAJSE 74.61%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- KEBNEKAJSE (8.33%)
- Bella Linnarsson (8.33%)
- Gunnar Andersson (8.33%)
- Hassan Bah (8.33%)
- Pelle Ekman (8.33%)
- Pelle Holm (8.33%)
- Rolf Scherrer (8.33%)
- Thomas Netzler (8.33%)
- Göran Lagerberg (8.33%)
- Ingemar Böcker (8.33%)
- Pelle Lindström (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: Apr 30, 10:53 PM
Analyzing Network Connections...
👁️ 14 Views
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