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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 49 [Heretoir] *
4 [Maximilian Forst] *
9 [Nils Groth] *
4 [Eklatanz] *
1 [Heretoir - Metal Embrace 2022] *
1 [Heretoir - Dark Troll Open Air 2023] *
1 [Heretoir - Rockharz Open Air 2015] *
25 [Agrypnie] *
4 [Carsten Pinkle] *
1 [René Schott] *
4 [Torsten Hirsch] *
121 [Thränenkind] *
1 [Daniel Zorn] *
1 [Michael Blum] *
1 [Michael Schindl] *
1 [S. Blazek] *
1 [Emanuel (26)] *
1 [Florian (42)] *
4 [Hannes (42)] *
1 [Pesten (5)]
)
= 12.29B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Heretoir] *
1 [Maximilian Forst] *
1 [Nils Groth] *
1 [Eklatanz] *
1 [Heretoir - Metal Embrace 2022] *
1 [Heretoir - Dark Troll Open Air 2023] *
1 [Heretoir - Rockharz Open Air 2015] *
1 [Agrypnie] *
1 [Carsten Pinkle] *
1 [René Schott] *
1 [Torsten Hirsch] *
1 [Thränenkind] *
1 [Daniel Zorn] *
1 [Michael Blum] *
1 [Michael Schindl] *
1 [S. Blazek] *
1 [Emanuel (26)] *
1 [Florian (42)] *
1 [Hannes (42)] *
1 [Pesten (5)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Thränenkind 49.59%Heretoir 20.08%Agrypnie 10.25%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)