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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 324 [La sucursal del cielo] *
1 [Daniel Arenas] *
9 [Mauro Castillo] *
1 [Belky Arizala] *
1 [Diego Leon] *
1 [Dina Zalloum] *
1 [Giselle Saouda] *
25 [Gledys Ibarra] *
1 [Hansel Camacho] *
1 [Luis Fernando Salas] *
1 [Valentina Acosta] *
1 [Vince Balanta] *
16 [Luly Bossa] *
1 [Carmenza González] *
1 [Claudio Cataño] *
1 [Iván Rodríguez] *
1 [Julián Díaz] *
1 [Marilyn Patiño]
)
= 1.17M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [La sucursal del cielo] *
1 [Daniel Arenas] *
1 [Mauro Castillo] *
1 [Belky Arizala] *
1 [Diego Leon] *
1 [Dina Zalloum] *
1 [Giselle Saouda] *
1 [Gledys Ibarra] *
1 [Hansel Camacho] *
1 [Luis Fernando Salas] *
1 [Valentina Acosta] *
1 [Vince Balanta] *
1 [Luly Bossa] *
1 [Carmenza González] *
1 [Claudio Cataño] *
1 [Iván Rodríguez] *
1 [Julián Díaz] *
1 [Marilyn Patiño]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)La sucursal del cielo 83.29%Gledys Ibarra 6.43%Luly Bossa 4.11%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)