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, 13) = 13
$outbound = max(1, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 13 * 12 = 156
Base_Influence (IV) = $inbound / $outbound = 13 / 12 = 1.0833
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 156 *
( 4 [Casa Museo de la Ciudad San Miguel de Tucumán] *
4 [Cementerio del Oeste de Tucumán] *
4 [Escuela Congreso de Tucuman] *
4 [Facultad Regional Tucumán] *
4 [Nicolás Avellaneda Institute] *
1 [Public services of San Miguel de Tucumán] *
81 [San Miguel de Tucumán] *
1 [Sports in San Miguel de Tucumán] *
1 [Symbols of San Miguel de Tucumán] *
4 [Universidad del Norte Santo Tomás de Aquino] *
1 [Universidad Nacional de Tucumán] *
4 [Casa de Tucumán] *
1 [Casa del Obispo José Colombres]
)
= 207.03M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0833 *
( 1 [Casa Museo de la Ciudad San Miguel de Tucumán] *
1 [Cementerio del Oeste de Tucumán] *
1 [Escuela Congreso de Tucuman] *
1 [Facultad Regional Tucumán] *
1 [Nicolás Avellaneda Institute] *
1 [Public services of San Miguel de Tucumán] *
1 [San Miguel de Tucumán] *
1 [Sports in San Miguel de Tucumán] *
1 [Symbols of San Miguel de Tucumán] *
1 [Universidad del Norte Santo Tomás de Aquino] *
1 [Universidad Nacional de Tucumán] *
1 [Casa de Tucumán] *
1 [Casa del Obispo José Colombres]
)
= 1.08
Outbound
13
Tags on post
Inbound
12
Posts tagging this
Connections
13
Total nodes
Base Node Strength
156
Base Node Influence
1.0833
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)San Miguel de Tucumán 30.00%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
San Martín de Tucumán
BROKEN LINK
