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 *
( 9 [María Cecilia Botero] *
324 [Undercover Law] *
16 [Camilo Amores] *
1 [Juan Manuel Mendoza] *
1 [Juana del Rio] *
25 [Katherine Vélez] *
25 [Luis Mesa] *
16 [Luna Baxter] *
25 [Manuela González] *
1 [Patrick Forster-Delmas] *
1 [Ricardo Vesga] *
25 [Roberto Cano] *
16 [Sara Pinzón] *
16 [Tommy Vasquez] *
16 [Toto Vega] *
16 [Valeria Galviz] *
1 [Variel Sanchez] *
25 [Viña Machado]
)
= 4.78 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [María Cecilia Botero] *
1 [Undercover Law] *
1 [Camilo Amores] *
1 [Juan Manuel Mendoza] *
1 [Juana del Rio] *
1 [Katherine Vélez] *
1 [Luis Mesa] *
1 [Luna Baxter] *
1 [Manuela González] *
1 [Patrick Forster-Delmas] *
1 [Ricardo Vesga] *
1 [Roberto Cano] *
1 [Sara Pinzón] *
1 [Tommy Vasquez] *
1 [Toto Vega] *
1 [Valeria Galviz] *
1 [Variel Sanchez] *
1 [Viña Machado]
)
= 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)
0.18%
(4.78 × 1017 overall)
Dominant nodes (excluded from chart)Undercover Law 57.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)