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Cheer-Accident
Todd Rittmann
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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
16
Strength Share (vs Direct Neighbours)
- This Post (1.02%)
- Dylan Posa (2.30%)
- Jamie Fillmore (1.02%)
- Mike Greenlees (1.02%)
- Mike Hagedorn (1.02%)
- Bill Martin (7) (1.02%)
- Carmen Armillas (1.02%)
- Chris Block (1.02%)
- D. Bayne (1.02%)
- Dante Kester (1.02%)
- Evelyn Davis (1.02%)
- Jeff Libersher (1.02%)
- Jim Drummond (3) (1.02%)
- Phil Bonnet (1.02%)
- Sacha Mullin (1.02%)
- Thymme Jones (1.02%)
Dominant nodes (excluded from chart)Cheer-Accident 82.40%
Influence Share (vs Direct Neighbours)
- This Post (5.84%)
- Cheer-Accident (6.53%)
- Dylan Posa (5.84%)
- Jamie Fillmore (5.84%)
- Mike Greenlees (5.84%)
- Mike Hagedorn (5.84%)
- Bill Martin (7) (5.84%)
- Carmen Armillas (5.84%)
- Chris Block (5.84%)
- D. Bayne (5.84%)
- Dante Kester (5.84%)
- Evelyn Davis (5.84%)
- Jeff Libersher (5.84%)
- Jim Drummond (3) (5.84%)
- Phil Bonnet (5.84%)
- Sacha Mullin (5.84%)
- Thymme Jones (5.84%)
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: Apr 30, 6:53 PM
Analyzing Network Connections...
👁️ 17 Views
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