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
14
Strength Share (vs Direct Neighbours)
- This Post (1.03%)
- Nick Schendzielos (2.33%)
- Alan Glassman (2.33%)
- Al Glassman (1.03%)
- Jonny Davy (1.03%)
- Tony Sannicandro (1.03%)
- Andrew Arcurio (1.03%)
- Andy Rysdam (1.03%)
- Brent Riggs (1.03%)
- Elliott Sellers (1.03%)
- Jon Rice (3) (1.03%)
- Ravi Bhadriraju (1.03%)
- Tony Sannicadro (1.03%)
Dominant nodes (excluded from chart)Job For A Cowboy 58.14%Navene Koperweis 25.84%
Influence Share (vs Direct Neighbours)
- This Post (6.67%)
- Job For A Cowboy (6.67%)
- Al Glassman (6.67%)
- Jonny Davy (6.67%)
- Nick Schendzielos (6.67%)
- Tony Sannicandro (6.67%)
- Navene Koperweis (6.67%)
- Alan Glassman (6.67%)
- Andrew Arcurio (6.67%)
- Andy Rysdam (6.67%)
- Brent Riggs (6.67%)
- Elliott Sellers (6.67%)
- Jon Rice (3) (6.67%)
- Ravi Bhadriraju (6.67%)
- Tony Sannicadro (6.67%)
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, 9:21 PM
Analyzing Network Connections...
👁️ 27 Views
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