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
2
Tags on post
Inbound
2
Posts tagging this
Base Node Strength
4
Base Node Influence
1
Connected Nodes
12
Strength Share (vs Direct Neighbours)
- This Post (1.80%)
- Paul Nash (4.05%)
- Iain Hunter (1.80%)
- Jack Cooper (11) (1.80%)
- Lyndon Scarfe (1.80%)
- Maethelyiah (1.80%)
- Martin Roberts (4) (1.80%)
- Paul Gilmartin (1.80%)
- Paul Hampshire (1.80%)
- Sam Bollands (1.80%)
- Steve Rawlings (1.80%)
- Tim Wright (3) (1.80%)
Dominant nodes (excluded from chart)The Danse Society 76.13%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- The Danse Society (7.69%)
- Paul Nash (7.69%)
- Iain Hunter (7.69%)
- Jack Cooper (11) (7.69%)
- Lyndon Scarfe (7.69%)
- Maethelyiah (7.69%)
- Martin Roberts (4) (7.69%)
- Paul Gilmartin (7.69%)
- Paul Hampshire (7.69%)
- Sam Bollands (7.69%)
- Steve Rawlings (7.69%)
- Tim Wright (3) (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: Apr 30, 8:53 AM
Analyzing Network Connections...
👁️ 12 Views
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