Network Profile
Overall Strength
1.85%
of network
(1.26 × 1020)
Direct Connections
6
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)
1.85%
(1.26 × 1020 overall)
- This Post (1.85%)
- Earl Harvin (16.67%)
- Thomas Belhom (7.41%)
- David Kitt (5.14%)
- Dan Oggly (4.12%)
- Stuart Staples (3.29%)
- David Leonard Boulter (3.29%)
- Stuart A. Staples (3.29%)
- Crispian Mills (3.29%)
- The Jeevas (3.29%)
- Dickon Hinchliffe (1.85%)
- Al Macaulay (1.85%)
- David Boulter (1.85%)
- Mark Colwill (0.82%)
- Neil Fraser (0.82%)
- Andy Nixon (5) (0.82%)
Dominant nodes (excluded from chart)Tindersticks 40.33%
Influence Share (vs Direct Neighbours)
- This Post (5.95%)
- Tindersticks (5.95%)
- David Kitt (5.95%)
- Earl Harvin (5.95%)
- Stuart Staples (5.95%)
- Dickon Hinchliffe (5.95%)
- Mark Colwill (5.95%)
- David Leonard Boulter (5.95%)
- Thomas Belhom (5.95%)
- Neil Fraser (5.95%)
- Al Macaulay (5.95%)
- David Boulter (5.95%)
- Stuart A. Staples (5.95%)
- Crispian Mills (5.95%)
- The Jeevas (5.95%)
- Andy Nixon (5) (5.95%)
- Dan Oggly (4.76%)
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 1, 9:34 PM
Analyzing Network Connections...
👁️ 47 Views