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Most common related type: musician.
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Everclear
Greg Eklund
Jolly Mon
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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
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
13
Strength Share (vs Direct Neighbours)
- This Post (3.36%)
- Brian Lehfeldt (13.43%)
- Tommy Stewart (3.36%)
- Freddy Herrera (3.36%)
- Art Alexakis (1.49%)
- Brett Snyder (1.49%)
- Craig Montoya (1.49%)
- Davey French (1.49%)
- Josh Crawley (1.49%)
- Sam Hudson (2) (1.49%)
- Sasha Smith (1.49%)
- Scott Cuthbert (1.49%)
- Jolly Mon (1.49%)
Dominant nodes (excluded from chart)Everclear 63.06%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Everclear (7.14%)
- Tommy Stewart (7.14%)
- Brian Lehfeldt (7.14%)
- Art Alexakis (7.14%)
- Brett Snyder (7.14%)
- Craig Montoya (7.14%)
- Davey French (7.14%)
- Freddy Herrera (7.14%)
- Josh Crawley (7.14%)
- Sam Hudson (2) (7.14%)
- Sasha Smith (7.14%)
- Scott Cuthbert (7.14%)
- Jolly Mon (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: May 2, 5:09 AM
Analyzing Network Connections...
👁️ 43 Views
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