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
9
Tags on post
Inbound
9
Posts tagging this
Base Node Strength
81
Base Node Influence
1
Connected Nodes
8
Strength Share (vs Direct Neighbours)
- This Post (71.68%)
- Anthony Purpura (3.54%)
- Brian Maddox (3.54%)
- Clayton Johnson (6) (3.54%)
- Jay Marotta (3.54%)
- Kevin Bard (2) (3.54%)
- Matt Villani (2) (3.54%)
- Rob Michelsen (3.54%)
- Tom Angenbroich (3.54%)
Influence Share (vs Direct Neighbours)
- This Post (11.11%)
- Anthony Purpura (11.11%)
- Brian Maddox (11.11%)
- Clayton Johnson (6) (11.11%)
- Jay Marotta (11.11%)
- Kevin Bard (2) (11.11%)
- Matt Villani (2) (11.11%)
- Rob Michelsen (11.11%)
- Tom Angenbroich (11.11%)
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, 11:12 AM
Analyzing Network Connections...
👁️ 4 Views
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