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Erin Pitman
The Suicide Machines
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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
12
Strength Share (vs Direct Neighbours)
- This Post (1.17%)
- Dave Smith (2.62%)
- Bill Jennings (2.62%)
- Dan Lukacinsky (2.62%)
- Royce Nunley (2.62%)
- Jason Brake (1.17%)
- Justin Malek (1.17%)
- Rich Tschirhart (1.17%)
- Ryan Vandeberghe (1.17%)
- Stefan Rairigh (1.17%)
- David Smith (19) (1.17%)
Dominant nodes (excluded from chart)The Suicide Machines 49.27%Derek Grant 32.07%
Influence Share (vs Direct Neighbours)
- This Post (7.63%)
- Derek Grant (8.40%)
- The Suicide Machines (7.63%)
- Dave Smith (7.63%)
- Bill Jennings (7.63%)
- Dan Lukacinsky (7.63%)
- Jason Brake (7.63%)
- Justin Malek (7.63%)
- Rich Tschirhart (7.63%)
- Royce Nunley (7.63%)
- Ryan Vandeberghe (7.63%)
- Stefan Rairigh (7.63%)
- David Smith (19) (7.63%)
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 4, 2:11 AM
Analyzing Network Connections...
👁️ 51 Views
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