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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Georg Sumpik] *
49 [Bernt Laukamp] *
400 [Ensemble 13] *
1 [Albrecht Kuen] *
1 [Anette-Brenner-Adorf] *
1 [Bernd Andres] *
1 [Dieter Baal] *
1 [Enrique Santiago] *
1 [Gerd Zeumer] *
1 [Alexander Ott (3)] *
1 [Egon Franke (2)] *
1 [Franz Lang (2)] *
1 [Gerhard Georgi] *
1 [Gerhard Rehkopf] *
1 [Gunther Joppig] *
1 [Hanns-Wilhelm Goetzke] *
1 [Hans LemserShow more] *
1 [Alfred Böhler] *
1 [Franziska Dürr] *
1 [Hanns-Wilhelm Götzke]
)
= 78.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Georg Sumpik] *
1 [Bernt Laukamp] *
1 [Ensemble 13] *
1 [Albrecht Kuen] *
1 [Anette-Brenner-Adorf] *
1 [Bernd Andres] *
1 [Dieter Baal] *
1 [Enrique Santiago] *
1 [Gerd Zeumer] *
1 [Alexander Ott (3)] *
1 [Egon Franke (2)] *
1 [Franz Lang (2)] *
1 [Gerhard Georgi] *
1 [Gerhard Rehkopf] *
1 [Gunther Joppig] *
1 [Hanns-Wilhelm Goetzke] *
1 [Hans LemserShow more] *
1 [Alfred Böhler] *
1 [Franziska Dürr] *
1 [Hanns-Wilhelm Götzke]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Ensemble 13 84.93%Bernt Laukamp 10.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)