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 *
( 81 [Michael Peña] *
16 [Julio Cesar Cedillo] *
361 [Narcos: Mexico] *
25 [Matt Letscher] *
4 [Diego Luna] *
9 [Scoot McNairy] *
1 [Alejandro Edda] *
1 [Alfonso Dosal] *
1 [Clark Freeman] *
1 [Fernanda Urrejola] *
1 [Francisco Barreiro] *
1 [Gerardo Taracena] *
1 [Gorka Lasaosa] *
16 [Manuel Masalva] *
4 [Tenoch Huerta] *
1 [Teresa Ruiz] *
1 [Fermín Martínez] *
1 [Joaquín Cosio] *
1 [José María Yazpik]
)
= 26.95B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael Peña] *
1 [Julio Cesar Cedillo] *
1 [Narcos: Mexico] *
1 [Matt Letscher] *
1 [Diego Luna] *
1 [Scoot McNairy] *
1 [Alejandro Edda] *
1 [Alfonso Dosal] *
1 [Clark Freeman] *
1 [Fernanda Urrejola] *
1 [Francisco Barreiro] *
1 [Gerardo Taracena] *
1 [Gorka Lasaosa] *
1 [Manuel Masalva] *
1 [Tenoch Huerta] *
1 [Teresa Ruiz] *
1 [Fermín Martínez] *
1 [Joaquín Cosio] *
1 [José María Yazpik]
)
= 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)Narcos: Mexico 68.37%Michael Peña 15.34%Matt Letscher 4.73%Julio Cesar Cedillo 3.03%Manuel Masalva 3.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)