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
12
Strength Share (vs Direct Neighbours)
- This Post (3.04%)
- Damon Richardson (8.45%)
- Cookie Duster (8.45%)
- Crawford Teasdale (1.35%)
- Dogface (4) (1.35%)
- John Borra (1.35%)
- Ken Burchell (1.35%)
- Kevin Nizel (1.35%)
- Neal Arbic (1.35%)
- Jeen O'Brien (1.35%)
Dominant nodes (excluded from chart)A Neon Rome 27.36%Brendan Canning 21.62%Ian Blurton 21.62%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- A Neon Rome (7.69%)
- Damon Richardson (7.69%)
- Brendan Canning (7.69%)
- Crawford Teasdale (7.69%)
- Dogface (4) (7.69%)
- Ian Blurton (7.69%)
- John Borra (7.69%)
- Ken Burchell (7.69%)
- Kevin Nizel (7.69%)
- Neal Arbic (7.69%)
- Cookie Duster (7.69%)
- Jeen O'Brien (7.69%)
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, 11:57 PM
Analyzing Network Connections...
👁️ 23 Views
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