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Claes Wikander
Crystal Eyes
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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.
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 (1.90%)
- Daniel Heiman (7.62%)
- Stefan Svantesson (4.29%)
- Niclas Karlsson (4.29%)
- Henrik Birgersson (1.90%)
- Jonatan Hallberg (1.90%)
- Jonathan Nyberg (1.90%)
- Kujtim Gashi (1.90%)
- Martin Tilander (1.90%)
- Mikael Dahl (3) (1.90%)
- SÃ ̧ren Adamsen (1.90%)
Dominant nodes (excluded from chart)Crystal Eyes 68.57%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Crystal Eyes (8.33%)
- Stefan Svantesson (8.33%)
- Daniel Heiman (8.33%)
- Niclas Karlsson (8.33%)
- Henrik Birgersson (8.33%)
- Jonatan Hallberg (8.33%)
- Jonathan Nyberg (8.33%)
- Kujtim Gashi (8.33%)
- Martin Tilander (8.33%)
- Mikael Dahl (3) (8.33%)
- SÃ ̧ren Adamsen (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 3, 7:27 AM
Analyzing Network Connections...
👁️ 22 Views
Related Content
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