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GGGOLDDD
Kamiel Top
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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 (1.84%)
- Harm Haverman (7.37%)
- Nick Polak (7.37%)
- Thomas Sciarone (4.15%)
- Igor Wouters (1.84%)
- Jaka BoliÄ (1.84%)
- Jos Hoevenaars (1.84%)
- Leyla Overdulve (1.84%)
- Milena Eva (1.84%)
- Tim Meijer (1.84%)
- Vincent Shore (1.84%)
Dominant nodes (excluded from chart)GGGOLDDD 66.36%
Influence Share (vs Direct Neighbours)
- This Post (8.33%)
- Thomas Sciarone (8.33%)
- GGGOLDDD (8.33%)
- Harm Haverman (8.33%)
- Igor Wouters (8.33%)
- Jaka BoliÄ (8.33%)
- Jos Hoevenaars (8.33%)
- Leyla Overdulve (8.33%)
- Milena Eva (8.33%)
- Nick Polak (8.33%)
- Tim Meijer (8.33%)
- Vincent Shore (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 4, 6:28 AM
Analyzing Network Connections...
👁️ 13 Views
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