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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [Avalanch] *
484 [Mike Terrana] *
4 [Roberto GarcÃa (5)] *
4 [VÃctor GarcÃa (4)] *
4 [Alírio Netto] *
1 [Alberto Ardines] *
1 [Alberto Rionda] *
1 [Charly Garcia (2)] *
1 [Charo L. Lasa] *
1 [Dany LeÃ3n] *
1 [Israel Ramos] *
1 [Javier De Castro] *
1 [Juan Angel Alaez] *
1 [Juan Lozano] *
1 [Marco Ãlvarez] *
1 [RamÃ3n Lage] *
1 [Roberto Junquera] *
16 [Jorge Salan] *
16 [AlÃrio Netto] *
1 [Avalanch tours]
)
= 3.17B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Avalanch] *
1 [Mike Terrana] *
1 [Roberto GarcÃa (5)] *
1 [VÃctor GarcÃa (4)] *
1 [Alírio Netto] *
1 [Alberto Ardines] *
1 [Alberto Rionda] *
1 [Charly Garcia (2)] *
1 [Charo L. Lasa] *
1 [Dany LeÃ3n] *
1 [Israel Ramos] *
1 [Javier De Castro] *
1 [Juan Angel Alaez] *
1 [Juan Lozano] *
1 [Marco Ãlvarez] *
1 [RamÃ3n Lage] *
1 [Roberto Junquera] *
1 [Jorge Salan] *
1 [AlÃrio Netto] *
1 [Avalanch tours]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Mike Terrana 51.38%Avalanch 42.46%Jorge Salan 1.70%AlÃrio Netto 1.70%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)