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, 13) = 13
$outbound = max(1, 13) = 13
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 13 = 169
Base_Influence (IV) = $inbound / $outbound = 13 / 13 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 169 *
( 16 [Loud Night] *
4 [Giovanni Durst] *
16 [Void Vator] *
4 [Erik Kluiber] *
676 [Iced Earth] *
16 [Witherfall] *
9 [Jake Dreyer] *
1 [Jon Leon] *
1 [Wyatt Anderson] *
1 [James J LaRue] *
1 [Dylan Marks] *
1 [Jonny G] *
289 [Hed PE] *
9 [Devin Lebsack] *
4 [(Hed) P. E.] *
1 [Jesse Appelhans] *
1 [Lewis Stephens (2)] *
81 [The More I See] *
4 [Peter Ellis (9)] *
1 [Will Wallner]
)
= 2.27 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Loud Night] *
1 [Giovanni Durst] *
1 [Void Vator] *
1 [Erik Kluiber] *
1 [Iced Earth] *
1 [Witherfall] *
1 [Jake Dreyer] *
1 [Jon Leon] *
1 [Wyatt Anderson] *
1 [James J LaRue] *
1 [Dylan Marks] *
1 [Jonny G] *
1 [Hed PE] *
1 [Devin Lebsack] *
1 [(Hed) P. E.] *
1 [Jesse Appelhans] *
1 [Lewis Stephens (2)] *
1 [The More I See] *
1 [Peter Ellis (9)] *
1 [Will Wallner]
)
= 1
Outbound
13
Tags on post
Inbound
13
Posts tagging this
Connections
20
Total nodes
Base Node Strength
169
Base Node Influence
1
Strength Share (vs Direct Neighbours)
12.95%
(2.27 × 1017 overall)
Dominant nodes (excluded from chart)Iced Earth 51.80%Hed PE 22.15%The More I See 6.21%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
