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
9
Strength Share (vs Direct Neighbours)
- This Post (2.65%)
- Abishai Collingsworth (5.96%)
- Ben Millhouse (2.65%)
- Dylan Baxter (2.65%)
- Jeremy Steckel (2.65%)
- Joey Alarcon (2.65%)
- Ryan Connelly (2.65%)
- Stephen Cobucci (2.65%)
- Colin Jones (9) (2.65%)
Dominant nodes (excluded from chart)Wolves at the Gate 72.85%
Influence Share (vs Direct Neighbours)
- This Post (9.90%)
- Wolves at the Gate (10.89%)
- Abishai Collingsworth (9.90%)
- Ben Millhouse (9.90%)
- Dylan Baxter (9.90%)
- Jeremy Steckel (9.90%)
- Joey Alarcon (9.90%)
- Ryan Connelly (9.90%)
- Stephen Cobucci (9.90%)
- Colin Jones (9) (9.90%)
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 4, 12:19 AM
Analyzing Network Connections...
👁️ 10 Views
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