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, 7) = 7
$outbound = max(1, 7) = 7
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 7 = 49
Base_Influence (IV) = $inbound / $outbound = 7 / 7 = 1
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 49 *
( 81 [Eisbrecher] *
676 [Letzte Instanz] *
289 [Rammstein] *
36 [Laibach] *
484 [Die Krupps] *
36 [Unheilig] *
49 [Neue Deutsche Härte] *
1 [Christian Leonhardt] *
1 [Daniel Schulz (3)] *
1 [Rene Bachmann] *
1 [Stephan Musiol] *
1 [Thomas Döppner] *
1 [Thomas Döppner]
)
= 2.38 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Eisbrecher] *
1 [Letzte Instanz] *
1 [Rammstein] *
1 [Laibach] *
1 [Die Krupps] *
1 [Unheilig] *
1 [Neue Deutsche Härte] *
1 [Christian Leonhardt] *
1 [Daniel Schulz (3)] *
1 [Rene Bachmann] *
1 [Stephan Musiol] *
1 [Thomas Döppner] *
1 [Thomas Döppner]
)
= 1
Outbound
7
Tags on post
Inbound
7
Posts tagging this
Connections
13
Total nodes
Base Node Strength
49
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.87%
(2.38 × 1016 overall)
Dominant nodes (excluded from chart)Letzte Instanz 39.62%Die Krupps 28.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
