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
17
Strength Share (vs Direct Neighbours)
- This Post (0.90%)
- Heinz Holliger (8.09%)
- Corinne Chapelle (5.62%)
- Benjamin Appl (0.90%)
- Barbara Zanichelli (0.90%)
- Carolin Widmann (0.90%)
- Christian Lampert (2) (0.90%)
- Christoph Schiller (2) (0.90%)
- Daniel Haefliger (0.90%)
- Daria Zappa (0.90%)
- Diego Chenna (0.90%)
- Edicson Ruiz (0.90%)
- Esther Hoppe (0.90%)
- Fabrizio Chiovetta (0.90%)
- Felix Renggli (0.90%)
- Hanna Weinmeister (0.90%)
- François Benda (0.90%)
Dominant nodes (excluded from chart)Swiss Chamber Soloists 72.81%
Influence Share (vs Direct Neighbours)
- This Post (5.56%)
- Heinz Holliger (5.56%)
- Swiss Chamber Soloists (5.56%)
- Benjamin Appl (5.56%)
- Barbara Zanichelli (5.56%)
- Carolin Widmann (5.56%)
- Christian Lampert (2) (5.56%)
- Christoph Schiller (2) (5.56%)
- Corinne Chapelle (5.56%)
- Daniel Haefliger (5.56%)
- Daria Zappa (5.56%)
- Diego Chenna (5.56%)
- Edicson Ruiz (5.56%)
- Esther Hoppe (5.56%)
- Fabrizio Chiovetta (5.56%)
- Felix Renggli (5.56%)
- Hanna Weinmeister (5.56%)
- François Benda (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, 6:55 AM
Analyzing Network Connections...
👁️ 23 Views
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