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Agoraphobic Nosebleed
Kat Katz
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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
12
Strength Share (vs Direct Neighbours)
- This Post (1.15%)
- Scott Hull (4.61%)
- Electrogrind (4.61%)
- John Jarvis (2) (2.59%)
- JR Hayes (2.59%)
- Jay Randall (1.15%)
- Richard Johnson (1.15%)
- Aaron Morrisette (1.15%)
- Carl Schultz (1.15%)
- Katherine Katz (1.15%)
- Sean Wipfli (1.15%)
Dominant nodes (excluded from chart)Agoraphobic Nosebleed 48.70%Powerviolence 28.82%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- Agoraphobic Nosebleed (7.69%)
- Jay Randall (7.69%)
- Richard Johnson (7.69%)
- Scott Hull (7.69%)
- Aaron Morrisette (7.69%)
- Carl Schultz (7.69%)
- John Jarvis (2) (7.69%)
- JR Hayes (7.69%)
- Katherine Katz (7.69%)
- Sean Wipfli (7.69%)
- Powerviolence (7.69%)
- Electrogrind (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: May 3, 5:19 PM
Analyzing Network Connections...
👁️ 35 Views
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