Network Profile
Overall Strength
0.70%
of network
(1.36 × 1016)
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
18
Strength Share (vs Direct Neighbours)
0.70%
(1.36 × 1016 overall)
- This Post (0.70%)
- Gérard Caussé (6.27%)
- Antoine Cure (1.57%)
- Alain Billard (0.70%)
- Alain Damiens (0.70%)
- Alain Neveux (0.70%)
- Alexis Descharmes (0.70%)
- Arnaud Boukhitine (0.70%)
- Ashot Sarkissjan (0.70%)
- Axel Bouchaux (0.70%)
- Benny Sluchin (0.70%)
- Catherine Jacquet (0.70%)
- Chrichan Larson (0.70%)
- Christian Schneider (5) (0.70%)
- Christophe Desjardins (0.70%)
- Andreà ̄ Karassenko (0.70%)
- Benoît Marin (0.70%)
Dominant nodes (excluded from chart)Ensemble InterContemporain 62.89%Jean-Guihen Queyras 18.82%
Influence Share (vs Direct Neighbours)
- This Post (5.17%)
- Jean-Guihen Queyras (6.90%)
- Ensemble InterContemporain (5.17%)
- Gérard Caussé (5.17%)
- Alain Billard (5.17%)
- Alain Damiens (5.17%)
- Alain Neveux (5.17%)
- Alexis Descharmes (5.17%)
- Antoine Cure (5.17%)
- Arnaud Boukhitine (5.17%)
- Ashot Sarkissjan (5.17%)
- Axel Bouchaux (5.17%)
- Benny Sluchin (5.17%)
- Catherine Jacquet (5.17%)
- Chrichan Larson (5.17%)
- Christian Schneider (5) (5.17%)
- Christophe Desjardins (5.17%)
- Andreà ̄ Karassenko (5.17%)
- Benoît Marin (5.17%)
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 1, 8:36 PM
Analyzing Network Connections...
👁️ 23 Views
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