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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 49 [Brian Eno] *
64 [Dieter Moebius] *
9 [Harmonia 76] *
25 [Conrad Schnitzler] *
9 [Kluster (3)] *
49 [Susumu Hirasawa] *
4 [Global Trotters] *
1 [A.R.S.(e)] *
1 [Hans Joachim Roedelius & Tim Story] *
4 [Highdelberg] *
4 [Qluster] *
1 [Roedelius Capanni Alesini] *
4 [Mol Quartetto] *
81 [Carl Michael Von Hausswolff]
)
= 522.65T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Brian Eno] *
1 [Dieter Moebius] *
1 [Harmonia 76] *
1 [Conrad Schnitzler] *
1 [Kluster (3)] *
1 [Susumu Hirasawa] *
1 [Global Trotters] *
1 [A.R.S.(e)] *
1 [Hans Joachim Roedelius & Tim Story] *
1 [Highdelberg] *
1 [Qluster] *
1 [Roedelius Capanni Alesini] *
1 [Mol Quartetto] *
1 [Carl Michael Von Hausswolff]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
14
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Carl Michael Von Hausswolff 20.98%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
