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Roger Raw
Steel Attack
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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
13
Strength Share (vs Direct Neighbours)
- This Post (0.87%)
- Stefan Westerberg (7.83%)
- Michael Bohlin (1.96%)
- Ronny Hemlin (1.96%)
- Dennis Vestman (1.96%)
- John Allan (0.87%)
- Johan Jalonen (0.87%)
- Andreas Deblén (0.87%)
- Anden Andersson (0.87%)
- John Allan Forssén (0.87%)
- Mike Stark (0.87%)
- Roger Enstedt (0.87%)
Dominant nodes (excluded from chart)Steel Attack 42.61%Simon Johansson 36.74%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Steel Attack (7.14%)
- Simon Johansson (7.14%)
- John Allan (7.14%)
- Johan Jalonen (7.14%)
- Michael Bohlin (7.14%)
- Stefan Westerberg (7.14%)
- Andreas Deblén (7.14%)
- Ronny Hemlin (7.14%)
- Anden Andersson (7.14%)
- Dennis Vestman (7.14%)
- John Allan Forssén (7.14%)
- Mike Stark (7.14%)
- Roger Enstedt (7.14%)
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, 2:16 PM
Analyzing Network Connections...
👁️ 28 Views
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