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
15
Strength Share (vs Direct Neighbours)
- This Post (3.83%)
- Mike Bruno (3.83%)
- Brian Crozier (3.83%)
- Bryce Hackford (1.70%)
- Gordon Lafler (1.70%)
- Jason Lubrano (1.70%)
- Jesse Litwa (1.70%)
- Phil Douglas (1.70%)
- John Mee (1.70%)
- Rob McAllister (1.70%)
- Dan Sposato (1.70%)
- Matt Canino (1.70%)
- Pat Schramm (1.70%)
- Mike Campbell (8) (1.70%)
Dominant nodes (excluded from chart)Iron Chic 42.55%Latterman 27.23%
Influence Share (vs Direct Neighbours)
- This Post (6.25%)
- Iron Chic (6.25%)
- Latterman (6.25%)
- Bryce Hackford (6.25%)
- Gordon Lafler (6.25%)
- Jason Lubrano (6.25%)
- Jesse Litwa (6.25%)
- Mike Bruno (6.25%)
- Phil Douglas (6.25%)
- Brian Crozier (6.25%)
- John Mee (6.25%)
- Rob McAllister (6.25%)
- Dan Sposato (6.25%)
- Matt Canino (6.25%)
- Pat Schramm (6.25%)
- Mike Campbell (8) (6.25%)
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, 10:57 PM
Analyzing Network Connections...
👁️ 9 Views
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