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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 121 [Museo de Historia de Madrid] *
1 [Collections of the Museo de Historia de Madrid] *
1 [Files provided by Museo de Historia de Madrid] *
1 [Museo de Historia de Madrid, floor 0, area 1] *
1 [Museo de Historia de Madrid, floor 1, area 1] *
1 [Museo de Historia de Madrid, floor 1, area 2] *
1 [Museo de Historia de Madrid, floor 2, area 1] *
1 [Museo de Historia de Madrid, floor 2, area 2] *
1 [Museo de Historia de Madrid, floor 2, area 3] *
1 [Real Hospicio de San Fernando, Madrid] *
1 [Template:Museo de Historia de Madrid]
)
= 121
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Museo de Historia de Madrid] *
1 [Collections of the Museo de Historia de Madrid] *
1 [Files provided by Museo de Historia de Madrid] *
1 [Museo de Historia de Madrid, floor 0, area 1] *
1 [Museo de Historia de Madrid, floor 1, area 1] *
1 [Museo de Historia de Madrid, floor 1, area 2] *
1 [Museo de Historia de Madrid, floor 2, area 1] *
1 [Museo de Historia de Madrid, floor 2, area 2] *
1 [Museo de Historia de Madrid, floor 2, area 3] *
1 [Real Hospicio de San Fernando, Madrid] *
1 [Template:Museo de Historia de Madrid]
)
= 1