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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 4 [Extrawelt] *
49 [Arne Schaffhausen] *
4 [Anomalie] *
1 [Christian "Marrok" Brauch] *
4 [Der Interpret] *
64 [DownHill] *
4 [Midi Miliz] *
4 [Spirallianz] *
9 [Robin Irvine] *
1 [Alpine skiing at the 1976 Winter Olympics – Women's downhill] *
1 [Alpine skiing at the 2006 Winter Olympics – Men's downhill] *
1 [Alpine skiing at the 2006 Winter Olympics – Women's downhill] *
1 [Alpine skiing at the 2010 Winter Olympics – Men's downhill] *
1 [Alpine skiing at the 2010 Winter Olympics – Women's downhill]
)
= 1.04B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Extrawelt] *
1 [Arne Schaffhausen] *
1 [Anomalie] *
1 [Christian "Marrok" Brauch] *
1 [Der Interpret] *
1 [DownHill] *
1 [Midi Miliz] *
1 [Spirallianz] *
1 [Robin Irvine] *
1 [Alpine skiing at the 1976 Winter Olympics – Women's downhill] *
1 [Alpine skiing at the 2006 Winter Olympics – Men's downhill] *
1 [Alpine skiing at the 2006 Winter Olympics – Women's downhill] *
1 [Alpine skiing at the 2010 Winter Olympics – Men's downhill] *
1 [Alpine skiing at the 2010 Winter Olympics – Women's downhill]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
14
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)DownHill 34.78%Arne Schaffhausen 26.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
