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Elias Mallin
Kill Hannah
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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
11
Strength Share (vs Direct Neighbours)
- This Post (2.02%)
- James Connelly (4.55%)
- Jon Radtke (4.55%)
- Allen Morgenstern (2.02%)
- Dan Wiese (2.02%)
- Daniel Wenberg (2.02%)
- Garret Hammond (2.02%)
- Greg Corner (2.02%)
- Isaac Bender (2.02%)
- Kerry Finerty (2.02%)
- Mat Devine (2.02%)
Dominant nodes (excluded from chart)Kill Hannah 72.73%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- James Connelly (8.33%)
- Kill Hannah (8.33%)
- Jon Radtke (8.33%)
- Allen Morgenstern (8.33%)
- Dan Wiese (8.33%)
- Daniel Wenberg (8.33%)
- Garret Hammond (8.33%)
- Greg Corner (8.33%)
- Isaac Bender (8.33%)
- Kerry Finerty (8.33%)
- Mat Devine (8.33%)
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, 8:37 PM
Analyzing Network Connections...
👁️ 23 Views
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