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disillusion
Rajk Barthel
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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
9
Strength Share (vs Direct Neighbours)
- This Post (2.94%)
- y Schmidt (2.94%)
- Andy Schmidt (3) (2.94%)
- Ben Haugg (2.94%)
- Jens Maluschka (2.94%)
- Josh Saldanha (2.94%)
- Martin Schulz (11) (2.94%)
- Robby Kranz (2.94%)
- Sebastian Hupfer (2.94%)
Dominant nodes (excluded from chart)Disillusion 73.53%
Influence Share (vs Direct Neighbours)
- This Post (10.00%)
- Disillusion (10.00%)
- y Schmidt (10.00%)
- Andy Schmidt (3) (10.00%)
- Ben Haugg (10.00%)
- Jens Maluschka (10.00%)
- Josh Saldanha (10.00%)
- Martin Schulz (11) (10.00%)
- Robby Kranz (10.00%)
- Sebastian Hupfer (10.00%)
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, 12:28 AM
Analyzing Network Connections...
👁️ 8 Views
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