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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 289 [Rammstein] *
225 [Flake] *
25 [Die Firma (2)] *
4 [Die Anderen (2)] *
16 [Feeling B] *
4 [Freygang] *
4 [Frigitte Hodenhorst Mundschenk] *
4 [Gesichter (2)] *
9 [Happy Straps] *
4 [Herbst In Flake] *
9 [Magdalene Keibel Combo] *
4 [Parts Per Millions] *
4 [ScHappy] *
4 [Stoffwechsel] *
4 [Flake & Piet] *
225 [Christian Lorenz]
)
= 4.97 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Rammstein] *
1 [Flake] *
1 [Die Firma (2)] *
1 [Die Anderen (2)] *
1 [Feeling B] *
1 [Freygang] *
1 [Frigitte Hodenhorst Mundschenk] *
1 [Gesichter (2)] *
1 [Happy Straps] *
1 [Herbst In Flake] *
1 [Magdalene Keibel Combo] *
1 [Parts Per Millions] *
1 [ScHappy] *
1 [Stoffwechsel] *
1 [Flake & Piet] *
1 [Christian Lorenz]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.48%
(4.97 × 1017 overall)
Dominant nodes (excluded from chart)Rammstein 34.49%Flake 26.85%Christian Lorenz 26.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)