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
10
Tags on post
Inbound
10
Posts tagging this
Base Node Strength
100
Base Node Influence
1
Connected Nodes
12
Strength Share (vs Direct Neighbours)
- This Post (38.91%)
- Phil Self (7.78%)
- Molly's Lips (4.67%)
- Molly’s Lips (4.67%)
- Alexander Petersen (1.56%)
- Brendan Grieve (1.56%)
- Daniel Lovegrove (1.56%)
- Daniel Neal (1.56%)
- Jack Lambert (2) (1.56%)
- James Vella (1.56%)
- Oliver Newton (1.56%)
- Simon Hampshire (1.56%)
Dominant nodes (excluded from chart)Cocos Lovers 31.52%
Influence Share (vs Direct Neighbours)
- This Post (8.13%)
- Alexander Petersen (8.13%)
- Brendan Grieve (8.13%)
- Daniel Lovegrove (8.13%)
- Daniel Neal (8.13%)
- Jack Lambert (2) (8.13%)
- James Vella (8.13%)
- Oliver Newton (8.13%)
- Simon Hampshire (8.13%)
- Cocos Lovers (8.13%)
- Phil Self (6.50%)
- Molly's Lips (6.10%)
- Molly’s Lips (6.10%)
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, 2:34 AM
Analyzing Network Connections...
👁️ 5 Views
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