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Michiel
No Turning Back
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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
12
Strength Share (vs Direct Neighbours)
- This Post (1.75%)
- Harm Haverman (6.99%)
- Emiel Laurant (1.75%)
- Erik Guillot (1.75%)
- Frank Janssen (1.75%)
- Joel Heijda (1.75%)
- Johan Lemmens (1.75%)
- Martijn van den Heuvel (1.75%)
- Robbert Van Caem (1.75%)
- Frankie (5) (1.75%)
- Willem (4) (1.75%)
- André Grasshoff (1.75%)
Dominant nodes (excluded from chart)No Turning Back 73.80%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- No Turning Back (7.69%)
- Harm Haverman (7.69%)
- Emiel Laurant (7.69%)
- Erik Guillot (7.69%)
- Frank Janssen (7.69%)
- Joel Heijda (7.69%)
- Johan Lemmens (7.69%)
- Martijn van den Heuvel (7.69%)
- Robbert Van Caem (7.69%)
- Frankie (5) (7.69%)
- Willem (4) (7.69%)
- André Grasshoff (7.69%)
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 2, 10:13 PM
Analyzing Network Connections...
👁️ 15 Views
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