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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 169 [Konrad Junghänel] *
4 [Antje Sabinski] *
9 [Andrea Keller] *
361 [Concerto Köln] *
4 [Aino Hildebrandt] *
16 [Alison Gangler] *
4 [Adrian Bleyer] *
4 [Alessandro De Marchi] *
4 [Alessandro Denabian] *
25 [Alessandro Pique] *
9 [Alexander Puliaev] *
1 [Alexander Scherf] *
1 [Andreas Nowak (2)] *
1 [Antje Engel] *
1 [Antje Keller] *
4 [Anton Steck] *
1 [Ariane Spiegel] *
1 [Anke Vogelsänger] *
1 [Anna Von RauÃendorff]
)
= 8.1T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Konrad Junghänel] *
1 [Antje Sabinski] *
1 [Andrea Keller] *
1 [Concerto Köln] *
1 [Aino Hildebrandt] *
1 [Alison Gangler] *
1 [Adrian Bleyer] *
1 [Alessandro De Marchi] *
1 [Alessandro Denabian] *
1 [Alessandro Pique] *
1 [Alexander Puliaev] *
1 [Alexander Scherf] *
1 [Andreas Nowak (2)] *
1 [Antje Engel] *
1 [Antje Keller] *
1 [Anton Steck] *
1 [Ariane Spiegel] *
1 [Anke Vogelsänger] *
1 [Anna Von RauÃendorff]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Concerto Köln 58.13%Konrad Junghänel 27.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)