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Henry Evans
Spindrift
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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
12
Strength Share (vs Direct Neighbours)
- This Post (1.80%)
- Bobby Bones (4.05%)
- Bill Degnan (1.80%)
- Joe Baluta (1.80%)
- Julie Patterson (1.80%)
- Kirpatrick Thomas (1.80%)
- Luke Dawson (1.80%)
- Paul Budd (1.80%)
- Pete Van Kouwenberg (1.80%)
- Sasha Vallely Certik (1.80%)
- Thomas Bellier (1.80%)
- Zack Masterton (1.80%)
Dominant nodes (excluded from chart)Spindrift 76.13%
Influence Share (vs Direct Neighbours)
- This Post (7.69%)
- Spindrift (7.69%)
- Bobby Bones (7.69%)
- Bill Degnan (7.69%)
- Joe Baluta (7.69%)
- Julie Patterson (7.69%)
- Kirpatrick Thomas (7.69%)
- Luke Dawson (7.69%)
- Paul Budd (7.69%)
- Pete Van Kouwenberg (7.69%)
- Sasha Vallely Certik (7.69%)
- Thomas Bellier (7.69%)
- Zack Masterton (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 1, 3:51 PM
Analyzing Network Connections...
👁️ 29 Views
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