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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 64 [Joaquin Phoenix] *
16 [Jonathan Ames] *
4 [Alex Manette] *
49 [John Doman] *
361 [You Were Never Really Here] *
1 [Annie Mac-Yang] *
1 [Claire Hsu] *
4 [Dante Pereira-Olson] *
1 [Denis Ozer] *
1 [Edward Latham] *
4 [Ekaterina Samsonov] *
9 [Frank Pando] *
16 [Judith Roberts] *
1 [Larry Canady] *
1 [Lilian Tsang] *
1 [Lucy Lan Luo] *
1 [Neo Randall] *
1 [Tia Sofia Begh] *
1 [Vinicius Damasceno]
)
= 166.93B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Joaquin Phoenix] *
1 [Jonathan Ames] *
1 [Alex Manette] *
1 [John Doman] *
1 [You Were Never Really Here] *
1 [Annie Mac-Yang] *
1 [Claire Hsu] *
1 [Dante Pereira-Olson] *
1 [Denis Ozer] *
1 [Edward Latham] *
1 [Ekaterina Samsonov] *
1 [Frank Pando] *
1 [Judith Roberts] *
1 [Larry Canady] *
1 [Lilian Tsang] *
1 [Lucy Lan Luo] *
1 [Neo Randall] *
1 [Tia Sofia Begh] *
1 [Vinicius Damasceno]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)You Were Never Really Here 67.10%Joaquin Phoenix 11.90%John Doman 9.11%Jonathan Ames 2.97%Judith Roberts 2.97%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)