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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Kreator] *
36 [Sami Yli-Sirniö] *
64 [Frédéric Leclercq] *
4 [Christian "Speesy" Giesler] *
1 [Jürgen "Ventor" Reil] *
1 [Miland "Mille" Petrozza] *
4 [Joe Cangelosi] *
4 [Markus Freiwald] *
9 [Mille Petrozza] *
4 [Tommy Vetterli] *
4 [Christian Giesler] *
1 [Frank Gosdzik] *
1 [Michael Wulf] *
1 [Rob Fioretti] *
81 [Pirate metal] *
9 [Sami Yli Sirniö] *
1 [Jörg Trzebiatowski]
)
= 4.47T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Kreator] *
1 [Sami Yli-Sirniö] *
1 [Frédéric Leclercq] *
1 [Christian "Speesy" Giesler] *
1 [Jürgen "Ventor" Reil] *
1 [Miland "Mille" Petrozza] *
1 [Joe Cangelosi] *
1 [Markus Freiwald] *
1 [Mille Petrozza] *
1 [Tommy Vetterli] *
1 [Christian Giesler] *
1 [Frank Gosdzik] *
1 [Michael Wulf] *
1 [Rob Fioretti] *
1 [Pirate metal] *
1 [Sami Yli Sirniö] *
1 [Jörg Trzebiatowski]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kreator 56.12%Pirate metal 15.73%Frédéric Leclercq 12.43%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)