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Johan Mijnster
Officium Triste
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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%)
- Bram Bijlhout (1.61%)
- Gerard de Jong (1.61%)
- Johan Kwakernaak (1.61%)
- Johan Tonnon (1.61%)
- Lawrence Meyer (1.61%)
- Maarten v.d. Giessen (1.61%)
- Martin Kwakernaak (1.61%)
- Niels Jordaan (1.61%)
- Pim Blankenstein (1.61%)
- Ronald Lagerwaard (1.61%)
- Theo Plaisier (1.61%)
- William van Dijk (1.61%)
Dominant nodes (excluded from chart)Officium Triste 79.03%
Influence Share (vs Direct Neighbours)
- This Post (7.14%)
- Officium Triste (7.14%)
- Bram Bijlhout (7.14%)
- Gerard de Jong (7.14%)
- Johan Kwakernaak (7.14%)
- Johan Tonnon (7.14%)
- Lawrence Meyer (7.14%)
- Maarten v.d. Giessen (7.14%)
- Martin Kwakernaak (7.14%)
- Niels Jordaan (7.14%)
- Pim Blankenstein (7.14%)
- Ronald Lagerwaard (7.14%)
- Theo Plaisier (7.14%)
- William van Dijk (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 2, 3:08 AM
Analyzing Network Connections...
👁️ 7 Views
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