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
11
Strength Share (vs Direct Neighbours)
- This Post (3.35%)
- Jason Bowld (9.29%)
- Ian Hoxley (9.29%)
- Richard Townshend (5.95%)
- Adam Mole (1.49%)
- Clint Mansell (1.49%)
- Davey Bennett (1.49%)
- Kerry Hammond (1.49%)
- Richard March (1.49%)
- Tim Muddiman & The Strange (1.49%)
Dominant nodes (excluded from chart)Pop Will Eat Itself 44.98%Graham Crabb 18.22%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Pop Will Eat Itself (8.33%)
- Jason Bowld (8.33%)
- Richard Townshend (8.33%)
- Graham Crabb (8.33%)
- Ian Hoxley (8.33%)
- Adam Mole (8.33%)
- Clint Mansell (8.33%)
- Davey Bennett (8.33%)
- Kerry Hammond (8.33%)
- Richard March (8.33%)
- Tim Muddiman & The Strange (8.33%)
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, 2:54 AM
Analyzing Network Connections...
👁️ 32 Views
Related Content
No related content found.