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
11
Strength Share (vs Direct Neighbours)
- This Post (1.33%)
- laura stevenson (5.32%)
- Al Daglis (2.99%)
- Jeff Tobias (1.33%)
- Joel Hatstat (1.33%)
- John DeDomenici (1.33%)
- Matt Keegan (2) (1.33%)
- Mike Costa (1.33%)
- Mike Huguenor (1.33%)
- Tom Malinowski (1.33%)
Dominant nodes (excluded from chart)Bomb the Music Industry! 47.84%Jeff Rosenstock 33.22%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Jeff Rosenstock (8.33%)
- laura stevenson (8.33%)
- Bomb the Music Industry! (8.33%)
- Al Daglis (8.33%)
- Jeff Tobias (8.33%)
- Joel Hatstat (8.33%)
- John DeDomenici (8.33%)
- Matt Keegan (2) (8.33%)
- Mike Costa (8.33%)
- Mike Huguenor (8.33%)
- Tom Malinowski (8.33%)
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 3, 12:34 AM
Analyzing Network Connections...
👁️ 20 Views
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