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 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Heinz Holliger] *
4 [Camerata Academica Salzburg] *
9 [English Chamber Orchestra] *
4 [I Musici] *
289 [Swiss Chamber Soloists] *
484 [Deutsche Kammerphilharmonie Bremen] *
36 [Ernst Kovacic] *
529 [Ensemble Modern] *
289 [Stuttgarter Kammerorchester] *
238 [Klangforum Wien]
)
= 2.64 x 10^18
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Heinz Holliger] *
1 [Camerata Academica Salzburg] *
1 [English Chamber Orchestra] *
1 [I Musici] *
1 [Swiss Chamber Soloists] *
1 [Deutsche Kammerphilharmonie Bremen] *
1 [Ernst Kovacic] *
1 [Ensemble Modern] *
1 [Stuttgarter Kammerorchester] *
0.8235 [Klangforum Wien]
)
= 0.8235
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.21%
(2.64 × 1018 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)