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
7
Strength Share (vs Direct Neighbours)
- This Post (9.89%)
- Peatbog Faeries (39.56%)
- Kathryn Tickell (17.58%)
- Iain Copeland (9.89%)
- The Kathryn Tickell Band (9.89%)
- Ben Ivitsky (4.40%)
- Innes Hutton (4.40%)
- Tom Salter (4.40%)
Influence Share (vs Direct Neighbours)
- This Post (12.50%)
- Iain Copeland (12.50%)
- Kathryn Tickell (12.50%)
- Peatbog Faeries (12.50%)
- Ben Ivitsky (12.50%)
- Innes Hutton (12.50%)
- Tom Salter (12.50%)
- The Kathryn Tickell Band (12.50%)
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, 7:52 AM
Analyzing Network Connections...
👁️ 12 Views
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