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
13
Strength Share (vs Direct Neighbours)
- This Post (1.38%)
- John Cobbett (12.41%)
- Jim Mack (3.10%)
- Mike Scalzi (3.10%)
- Adrian Maestas (1.38%)
- Angelo Tringali (1.38%)
- Antoine Reuben Diavola (1.38%)
- Chris Haa (1.38%)
- Dave Passmore (1.38%)
- Harry Cantwell (1.38%)
- Justin Phelps (1.38%)
- Omar Herd (1.38%)
- Scott Beach (2) (1.38%)
Dominant nodes (excluded from chart)The Lord Weird Slough Feg 67.59%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- The Lord Weird Slough Feg (7.14%)
- John Cobbett (7.14%)
- Jim Mack (7.14%)
- Mike Scalzi (7.14%)
- Adrian Maestas (7.14%)
- Angelo Tringali (7.14%)
- Antoine Reuben Diavola (7.14%)
- Chris Haa (7.14%)
- Dave Passmore (7.14%)
- Harry Cantwell (7.14%)
- Justin Phelps (7.14%)
- Omar Herd (7.14%)
- Scott Beach (2) (7.14%)
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: Apr 30, 9:15 PM
Analyzing Network Connections...
👁️ 44 Views
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