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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 81 [Raunchy] *
1 [Jeppe Christensen] *
4 [Jesper Kvist] *
1 [Lars Christensen] *
4 [Morten Toft Hansen] *
1 [Jesper Andreas Tilsted] *
1 [Lars Christensen (4)] *
4 [Lars Vognstrup] *
9 [Mike Semesky] *
64 [The Arcane Order] *
16 [Bastian Thusgaard] *
4 [Flemming C. Lund] *
81 [Morten Løwe Sørensen] *
9 [Kasper Kirkegaard] *
1 [Boris Tandrup] *
4 [Kenneth Klitte Jensen] *
9 [Morten LÃ ̧we SÃ ̧rensen]
)
= 20.06T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Raunchy] *
1 [Jeppe Christensen] *
1 [Jesper Kvist] *
1 [Lars Christensen] *
1 [Morten Toft Hansen] *
1 [Jesper Andreas Tilsted] *
1 [Lars Christensen (4)] *
1 [Lars Vognstrup] *
1 [Mike Semesky] *
1 [The Arcane Order] *
1 [Bastian Thusgaard] *
1 [Flemming C. Lund] *
1 [Morten Løwe Sørensen] *
1 [Kasper Kirkegaard] *
1 [Boris Tandrup] *
1 [Kenneth Klitte Jensen] *
1 [Morten LÃ ̧we SÃ ̧rensen]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Raunchy 27.18%Morten Løwe Sørensen 27.18%The Arcane Order 21.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)