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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Freiburger Barockorchester] *
4 [Andreas Staier] *
225 [Friedemann Immer] *
25 [Alessandro Pique] *
4 [Alan Emslie] *
9 [Alayne Leslie] *
9 [Alexandra Bellamy] *
1 [Andrew Ackerman] *
1 [Anna Maya Luolajan Mikkola] *
1 [Anne Parisot] *
4 [Annelies Van Der Vegt] *
1 [Annette Schmidt] *
9 [Bart Aerbeydt] *
25 [Benny Aghassi] *
1 [Brian Dean] *
4 [Charlie Fischer] *
1 [Christa Kittel]
)
= 7.58T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Freiburger Barockorchester] *
1 [Andreas Staier] *
1 [Friedemann Immer] *
1 [Alessandro Pique] *
1 [Alan Emslie] *
1 [Alayne Leslie] *
1 [Alexandra Bellamy] *
1 [Andrew Ackerman] *
1 [Anna Maya Luolajan Mikkola] *
1 [Anne Parisot] *
1 [Annelies Van Der Vegt] *
1 [Annette Schmidt] *
1 [Bart Aerbeydt] *
1 [Benny Aghassi] *
1 [Brian Dean] *
1 [Charlie Fischer] *
1 [Christa Kittel]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Freiburger Barockorchester 47.07%Friedemann Immer 36.64%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)