How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 961 [La Petite Bande] *
169 [Sigiswald Kuijken] *
9 [Royal Conservatory of Brussels] *
1 [Royal Conservatory of The Hague] *
9 [University of Leuven] *
16 [Orchestra Of The 18th Century] *
9 [Alarius-Ensemble] *
25 [Musiques Nouvelles] *
16 [The Kuijken Ensemble] *
529 [Collegium Aureum] *
9 [Ensemble Polyphonies] *
4 [Kuijkens] *
36 [Concentus Musicus Wien] *
121 [Wieland Kuijken] *
25 [Concerto Vocale] *
361 [Hespèrion XX] *
1 [Ricercare-Ensemble Für Alte Musik]
)
= 2.27 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [La Petite Bande] *
1 [Sigiswald Kuijken] *
1 [Royal Conservatory of Brussels] *
1 [Royal Conservatory of The Hague] *
1 [University of Leuven] *
1 [Orchestra Of The 18th Century] *
1 [Alarius-Ensemble] *
1 [Musiques Nouvelles] *
1 [The Kuijken Ensemble] *
1 [Collegium Aureum] *
1 [Ensemble Polyphonies] *
1 [Kuijkens] *
1 [Concentus Musicus Wien] *
1 [Wieland Kuijken] *
1 [Concerto Vocale] *
1 [Hespèrion XX] *
1 [Ricercare-Ensemble Für Alte Musik]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.17%
(2.27 × 1024 overall)
Dominant nodes (excluded from chart)La Petite Bande 41.69%Collegium Aureum 22.95%Hespèrion XX 15.66%Sigiswald Kuijken 7.33%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)