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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Renato Freyggang] *
4 [Fernando Carrasco] *
100 [Patricio Wang] *
4 [Ricardo Venegas] *
144 [Barroco Andino] *
1 [Adrian Otarola] *
1 [Antonio Veliz] *
1 [Carlos Boltes] *
1 [Jaime Soto] *
1 [Hugo Lagos (3)] *
1 [Wilson Padilla (2)] *
1 [Ernesto González (3)]
)
= 3.69M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Renato Freyggang] *
1 [Fernando Carrasco] *
1 [Patricio Wang] *
1 [Ricardo Venegas] *
1 [Barroco Andino] *
1 [Adrian Otarola] *
1 [Antonio Veliz] *
1 [Carlos Boltes] *
1 [Jaime Soto] *
1 [Hugo Lagos (3)] *
1 [Wilson Padilla (2)] *
1 [Ernesto González (3)]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
12
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Barroco Andino 52.17%Patricio Wang 36.23%Renato Freyggang 5.80%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)