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
3
Tags on post
Inbound
3
Posts tagging this
Base Node Strength
9
Base Node Influence
1
Connected Nodes
10
Strength Share (vs Direct Neighbours)
- This Post (4.97%)
- End The (13.81%)
- Liam Cormier (13.81%)
- Andrew McCracken (2.21%)
- Dave Payant (2.21%)
- Mike Haviland (2.21%)
- Richard Gagnon (2.21%)
- Jaye R. Schwarzer (2.21%)
- Mike Peters (2) (2.21%)
Dominant nodes (excluded from chart)Mike Peters 27.07%Cancer Bats 27.07%
Influence Share (vs Direct Neighbours)
- This Post (9.09%)
- End The (9.09%)
- Andrew McCracken (9.09%)
- Mike Peters (9.09%)
- Dave Payant (9.09%)
- Mike Haviland (9.09%)
- Richard Gagnon (9.09%)
- Jaye R. Schwarzer (9.09%)
- Liam Cormier (9.09%)
- Mike Peters (2) (9.09%)
- Cancer Bats (9.09%)
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 2, 9:05 AM
Analyzing Network Connections...
👁️ 39 Views
Related Content
No related content found.