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, 12) = 12
$outbound = max(1, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 12 = 144
Base_Influence (IV) = $inbound / $outbound = 12 / 12 = 1
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 144 *
( 36 [Nijmegen] *
1 [W.J. Brender à Brandis] *
1 [North portal of Sint-Servaasbasiliek] *
1 [Rectory of Sint-Servaasbasiliek] *
1 [Julianaboom, Keizer Karelplein, Maastricht] *
1 [Keizer Karelplein 16, Maastricht] *
1 [Keizer Karelplein 19, Maastricht] *
1 [Keizer Karelplein 3, Maastricht] *
1 [Keizer Karelplein 4, Maastricht] *
1 [Keizer Karelplein 5, Maastricht] *
1 [Keizer Karelplein 8, Maastricht] *
1 [Keizer Karelplein 9, Maastricht] *
1 [War memorial Sint-Servaasbasiliek, Maastricht] *
6 [Keizer Karelplein, Nijmegen]
)
= 31.1K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Nijmegen] *
1 [W.J. Brender à Brandis] *
1 [North portal of Sint-Servaasbasiliek] *
1 [Rectory of Sint-Servaasbasiliek] *
1 [Julianaboom, Keizer Karelplein, Maastricht] *
1 [Keizer Karelplein 16, Maastricht] *
1 [Keizer Karelplein 19, Maastricht] *
1 [Keizer Karelplein 3, Maastricht] *
1 [Keizer Karelplein 4, Maastricht] *
1 [Keizer Karelplein 5, Maastricht] *
1 [Keizer Karelplein 8, Maastricht] *
1 [Keizer Karelplein 9, Maastricht] *
1 [War memorial Sint-Servaasbasiliek, Maastricht] *
0.6667 [Keizer Karelplein, Nijmegen]
)
= 0.6667