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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 10 [Vladimír Padrůněk] *
484 [Abraxas] *
1 [Dux (2)] *
1 [ENERGIT] *
4 [Jazz Q] *
1 [Pro-Rock] *
1 [Skupina F. R. Čecha] *
1 [Skupina Oty Petřiny] *
25 [Abraxas (8)] *
1 [Etcâ¦] *
1 [Skupina Oty PetÅiny] *
2 [Studiová Skupina Martina Kratochvíla] *
52 [vladimir-padrunek]
)
= 50.34M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 10 [Vladimír Padrůněk] *
1 [Abraxas] *
1 [Dux (2)] *
1 [ENERGIT] *
1 [Jazz Q] *
1 [Pro-Rock] *
1 [Skupina F. R. Čecha] *
1 [Skupina Oty Petřiny] *
1 [Abraxas (8)] *
1 [Etcâ¦] *
1 [Skupina Oty PetÅiny] *
0.5 [Studiová Skupina Martina Kratochvíla] *
0.3077 [vladimir-padrunek]
)
= 1.54
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
13
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Abraxas 82.74%vladimir-padrunek 8.89%Abraxas (8) 4.27%Vladimír Padrůněk 1.71%
Influence Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Vladimír Padrůněk 45.86%
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)