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Daniel Firth (2)
Man Must Die
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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
8
Strength Share (vs Direct Neighbours)
- This Post (2.92%)
- Dan Foord (11.68%)
- Todd Hansen (2) (11.68%)
- Alan McFarland (2.92%)
- Joe McGlynn (2.92%)
- Renne Hauffe (2.92%)
- James Burke (6) (2.92%)
- John Lee (23) (2.92%)
Dominant nodes (excluded from chart)Man Must Die 59.12%
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Dan Foord (11.11%)
- Man Must Die (11.11%)
- Alan McFarland (11.11%)
- Joe McGlynn (11.11%)
- Renne Hauffe (11.11%)
- Todd Hansen (2) (11.11%)
- James Burke (6) (11.11%)
- John Lee (23) (11.11%)
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 3, 2:54 PM
Analyzing Network Connections...
👁️ 40 Views
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