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 *
( 361 [Quilapayún] *
1 [Carlos Quezada] *
4 [Eduardo Carrasco] *
4 [Fernando Carrasco] *
1 [Hugo Lagos] *
16 [Julio Numhauser] *
9 [Patricio Castillo] *
100 [Patricio Wang] *
4 [Ricardo Venegas] *
1 [Julio Carrasco (2)] *
1 [Rodolfo Parada] *
1 [Sebastian Quezada] *
1 [Sergio Arriagada] *
1 [Guillermo GarcÃa Campos] *
1 [Hernán Gómez] *
1 [Ismael Oddó] *
16 [Nueva canción] *
1 [Pedro Ãvalos] *
1 [Rubén Escudero]
)
= 5.32B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Quilapayún] *
1 [Carlos Quezada] *
1 [Eduardo Carrasco] *
1 [Fernando Carrasco] *
1 [Hugo Lagos] *
1 [Julio Numhauser] *
1 [Patricio Castillo] *
1 [Patricio Wang] *
1 [Ricardo Venegas] *
1 [Julio Carrasco (2)] *
1 [Rodolfo Parada] *
1 [Sebastian Quezada] *
1 [Sergio Arriagada] *
1 [Guillermo GarcÃa Campos] *
1 [Hernán Gómez] *
1 [Ismael Oddó] *
1 [Nueva canción] *
1 [Pedro Ãvalos] *
1 [Rubén Escudero]
)
= 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)Quilapayún 68.63%Patricio Wang 19.01%Julio Numhauser 3.04%Nueva canción 3.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)