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Most common related type: musician.
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Jogy Rautenberg
Skew Siskin
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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
8
Strength Share (vs Direct Neighbours)
- This Post (2.76%)
- Randy Black (24.83%)
- Cornelius Rapp (2.76%)
- Henning Menke (2.76%)
- Jim Voxx (2.76%)
- Mathias Brendel (2.76%)
- Nik Terry (2.76%)
- Nina C. Alice (2.76%)
Dominant nodes (excluded from chart)Skew Siskin 55.86%
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Randy Black (11.11%)
- Skew Siskin (11.11%)
- Cornelius Rapp (11.11%)
- Henning Menke (11.11%)
- Jim Voxx (11.11%)
- Mathias Brendel (11.11%)
- Nik Terry (11.11%)
- Nina C. Alice (11.11%)
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, 4:19 AM
Analyzing Network Connections...
👁️ 21 Views
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