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 (1.61%)
- Ben Karas (1.61%)
- Salvatore Marrano (1.61%)
- Tom Monda (1.61%)
- Andrew Digrius (1.61%)
- Cody McCorry (1.61%)
- Faye Fadem (1.61%)
- Greg Colacino (1.61%)
- Joe Gullace (1.61%)
- Kevin Grossman (2) (1.61%)
- Odin Alvarez (1.61%)
- Russ Lynch (1.61%)
- Sam Greenfield (1.61%)
Dominant nodes (excluded from chart)Thank You Scientist 79.03%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Thank You Scientist (7.14%)
- Ben Karas (7.14%)
- Salvatore Marrano (7.14%)
- Tom Monda (7.14%)
- Andrew Digrius (7.14%)
- Cody McCorry (7.14%)
- Faye Fadem (7.14%)
- Greg Colacino (7.14%)
- Joe Gullace (7.14%)
- Kevin Grossman (2) (7.14%)
- Odin Alvarez (7.14%)
- Russ Lynch (7.14%)
- Sam Greenfield (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: May 1, 8:44 PM
Analyzing Network Connections...
👁️ 4 Views
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