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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 289 [Natsuki KIDO] *
36 [P.O.N.] *
1 [Frank Fuchs (2)] *
1 [Harald Wittkowski] *
1 [Sascha Fuchs] *
1 [Wolfgang Fuchs (3)] *
81 [Neue Generation] *
9 [Rainer Oleak] *
16 [Axel Donner] *
4 [Hans-Joachim Schweda] *
1 [Michael Behm] *
1 [Peter Datschew] *
1 [Wolfgang Kobischke] *
1 [Heinz-Jürgen Gottschalk] *
1 [Regine Dobberschütz]
)
= 1.94B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Natsuki KIDO] *
1 [P.O.N.] *
1 [Frank Fuchs (2)] *
1 [Harald Wittkowski] *
1 [Sascha Fuchs] *
1 [Wolfgang Fuchs (3)] *
1 [Neue Generation] *
1 [Rainer Oleak] *
1 [Axel Donner] *
1 [Hans-Joachim Schweda] *
1 [Michael Behm] *
1 [Peter Datschew] *
1 [Wolfgang Kobischke] *
1 [Heinz-Jürgen Gottschalk] *
1 [Regine Dobberschütz]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
15
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Natsuki KIDO 64.51%Neue Generation 18.08%P.O.N. 8.04%Axel Donner 3.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)