Network Profile
Overall Strength
0.89%
of network
(272.75T)
Direct Connections
4
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
17
Strength Share (vs Direct Neighbours)
- This Post (0.89%)
- Benjamin Hudson (3.56%)
- Adrian Iliescu (2) (0.89%)
- Adriana Ringler (0.89%)
- Alfred Csammer (0.89%)
- Alphonse Roy (0.89%)
- Andreas Bertz (0.89%)
- Andreas Schmid (5) (0.89%)
- Andreas Schmidt (9) (0.89%)
- Angelo W. Galetti (0.89%)
- Ariadne Daskalakis (0.89%)
- Attila Demus (0.89%)
- Bernard Gabel (0.89%)
- Christian Schmitt (2) (0.89%)
- Christiane Nicolet (0.89%)
- Christof Baumbusch (0.89%)
Dominant nodes (excluded from chart)Stuttgarter Kammerorchester 72.16%Ernst Kovacic 10.91%
Influence Share (vs Direct Neighbours)
- This Post (5.56%)
- Benjamin Hudson (5.56%)
- Ernst Kovacic (5.56%)
- Stuttgarter Kammerorchester (5.56%)
- Adrian Iliescu (2) (5.56%)
- Adriana Ringler (5.56%)
- Alfred Csammer (5.56%)
- Alphonse Roy (5.56%)
- Andreas Bertz (5.56%)
- Andreas Schmid (5) (5.56%)
- Andreas Schmidt (9) (5.56%)
- Angelo W. Galetti (5.56%)
- Ariadne Daskalakis (5.56%)
- Attila Demus (5.56%)
- Bernard Gabel (5.56%)
- Christian Schmitt (2) (5.56%)
- Christiane Nicolet (5.56%)
- Christof Baumbusch (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)
Outbound Tags (2)
Stuttgarter Kammerorchester
Last calculated math cycle: May 3, 2:54 AM
Analyzing Network Connections...
👁️ 17 Views
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