Network Profile
Overall Strength
15.42%
of network
(1.53 × 1018)
Direct Connections
16
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
8
Tags on post
Inbound
8
Posts tagging this
Base Node Strength
64
Base Node Influence
1
Connected Nodes
17
Strength Share (vs Direct Neighbours)
15.42%
(1.53 × 1018 overall)
- This Post (15.42%)
- Michael Gregor (8.67%)
- Alexander Opitz (6.02%)
- LANZ (3.86%)
- Hannes Leroy (0.96%)
- Kobe Cannière (0.96%)
- Mattias Theuwen (0.96%)
- Mattias Vantomme (0.96%)
- Peter Theuwen (0.96%)
- Peter Kubik Thomas Tannenberger (0.96%)
- Herr Wolf (0.96%)
- Hrim (2) (0.96%)
- Arthur Rosar (0.96%)
- Peter Kubik (0.96%)
- Thomas Tannenberger (0.96%)
Dominant nodes (excluded from chart)Moritz Neuner 24.10%Abigor 19.52%Amestigon 11.81%
Influence Share (vs Direct Neighbours)
- This Post (5.56%)
- Abigor (5.56%)
- Amestigon (5.56%)
- Hannes Leroy (5.56%)
- Kobe Cannière (5.56%)
- Mattias Theuwen (5.56%)
- Mattias Vantomme (5.56%)
- Peter Theuwen (5.56%)
- Peter Kubik Thomas Tannenberger (5.56%)
- Moritz Neuner (5.56%)
- Michael Gregor (5.56%)
- Alexander Opitz (5.56%)
- Herr Wolf (5.56%)
- Hrim (2) (5.56%)
- LANZ (5.56%)
- Arthur Rosar (5.56%)
- Peter Kubik (5.56%)
- Thomas Tannenberger (5.56%)
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, 8:17 PM
Analyzing Network Connections...
👁️ 32 Views
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