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
16
Strength Share (vs Direct Neighbours)
- This Post (3.06%)
- Paul Zahl (5.44%)
- Baseball Cap (5.44%)
- Greg Langston (3.06%)
- David Kammerman (1.36%)
- Stefanie Kammerman (1.36%)
- Blaine L. Reininger (1.36%)
- Bruce Geduldig (1.36%)
- Frankie Lievaart (1.36%)
- Ivan Georgiev (1.36%)
- Luc Van Lieshout (1.36%)
- Marcia Barcellos (1.36%)
- Peter Dachert (1.36%)
- Steven Brown (1.36%)
- Victoria Lowe (1.36%)
- Winston Tong (1.36%)
Dominant nodes (excluded from chart)Tuxedomoon 66.67%
Influence Share (vs Direct Neighbours)
- This Post (5.88%)
- Tuxedomoon (5.88%)
- Paul Zahl (5.88%)
- Baseball Cap (5.88%)
- David Kammerman (5.88%)
- Stefanie Kammerman (5.88%)
- Greg Langston (5.88%)
- Blaine L. Reininger (5.88%)
- Bruce Geduldig (5.88%)
- Frankie Lievaart (5.88%)
- Ivan Georgiev (5.88%)
- Luc Van Lieshout (5.88%)
- Marcia Barcellos (5.88%)
- Peter Dachert (5.88%)
- Steven Brown (5.88%)
- Victoria Lowe (5.88%)
- Winston Tong (5.88%)
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, 11:56 AM
Analyzing Network Connections...
👁️ 29 Views
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