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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Stephan Grossmann] *
16 [Sönke Möhring] *
324 [Alles Klara] *
4 [Alexa Maria Surholt] *
1 [Alexander Milo] *
1 [Carl Heinz Choynski] *
16 [Christoph Hagen Dittmann] *
1 [Felix Eitner] *
25 [Heinrich Schafmeister] *
16 [Jan Niklas Berg] *
1 [Marc Schulze] *
9 [Sophie Lutz] *
1 [Wolke Hegenbarth] *
1 [Antonia Görner] *
1 [Jörg Gudzuhn] *
1 [Karin Schröder] *
1 [Stephanie Kämmer] *
1 [Winnie Böwe]
)
= 23.89B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Stephan Grossmann] *
1 [Sönke Möhring] *
1 [Alles Klara] *
1 [Alexa Maria Surholt] *
1 [Alexander Milo] *
1 [Carl Heinz Choynski] *
1 [Christoph Hagen Dittmann] *
1 [Felix Eitner] *
1 [Heinrich Schafmeister] *
1 [Jan Niklas Berg] *
1 [Marc Schulze] *
1 [Sophie Lutz] *
1 [Wolke Hegenbarth] *
1 [Antonia Görner] *
1 [Jörg Gudzuhn] *
1 [Karin Schröder] *
1 [Stephanie Kämmer] *
1 [Winnie Böwe]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Alles Klara 73.47%Heinrich Schafmeister 5.67%Stephan Grossmann 4.54%Sönke Möhring 3.63%Christoph Hagen Dittmann 3.63%Jan Niklas Berg 3.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)