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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 81 [The More I See] *
9 [Gavin King (2)] *
25 [Graham Butt] *
9 [Spikey T. Smith] *
1 [Alex Cummins] *
1 [Drew Markwick] *
1 [Harri Wright] *
1 [James Cluer] *
1 [Lee Churchill] *
169 [White Wizzard] *
1 [Dylan Marks] *
4 [Giovanni Durst] *
1 [James J LaRue] *
1 [Jon Leon] *
1 [Jonny G] *
9 [Jake Dreyer] *
4 [Erik Kluiber] *
9 [Devin Lebsack] *
1 [Jesse Appelhans] *
1 [Lewis Stephens (2)] *
1 [Will Wallner] *
1 [Wyatt Anderson]
)
= 143.7B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The More I See] *
1 [Gavin King (2)] *
1 [Graham Butt] *
1 [Spikey T. Smith] *
1 [Alex Cummins] *
1 [Drew Markwick] *
1 [Harri Wright] *
1 [James Cluer] *
1 [Lee Churchill] *
1 [White Wizzard] *
1 [Dylan Marks] *
1 [Giovanni Durst] *
1 [James J LaRue] *
1 [Jon Leon] *
1 [Jonny G] *
1 [Jake Dreyer] *
1 [Erik Kluiber] *
1 [Devin Lebsack] *
1 [Jesse Appelhans] *
1 [Lewis Stephens (2)] *
1 [Will Wallner] *
1 [Wyatt Anderson]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
22
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)White Wizzard 50.30%The More I See 24.11%Graham Butt 7.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)