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 (1.45%)
- Ryan Seaman (5.82%)
- Zachary Sandler (3.27%)
- Max Green (3.27%)
- Ronnie Radke (3.27%)
- Ron Ficarro (1.45%)
- Christian Thompson (2) (1.45%)
- Jacky Vincent (1.45%)
- Luke Holland (2) (1.45%)
- Mika Horiuchi (1.45%)
- Nason Schoeffler (1.45%)
- Scott Gee (1.45%)
- Tyler Burgess (2) (1.45%)
Dominant nodes (excluded from chart)Falling in Reverse 71.27%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Falling in Reverse (7.14%)
- Ron Ficarro (7.14%)
- Ryan Seaman (7.14%)
- Zachary Sandler (7.14%)
- Max Green (7.14%)
- Ronnie Radke (7.14%)
- Christian Thompson (2) (7.14%)
- Jacky Vincent (7.14%)
- Luke Holland (2) (7.14%)
- Mika Horiuchi (7.14%)
- Nason Schoeffler (7.14%)
- Scott Gee (7.14%)
- Tyler Burgess (2) (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 4, 6:38 AM
Analyzing Network Connections...
👁️ 19 Views
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