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, 7) = 7
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 7 * 5 = 35
Base_Influence (IV) = $inbound / $outbound = 7 / 5 = 1.4
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 35 *
( 3 [Województwo dolnośląskie] *
15 [Silesia] *
30 [Czermna] *
4 [Lower Silesia] *
25 [Czech Corner] *
25 [Pasterka, Lower Silesian Voivodeship] *
4 [Saint John the Baptist church in Pasterka] *
64 [Kudowa-Zdrój] *
1 [Pstrążna] *
1 [Pasterka Hostel] *
4 [Pasterka-Machovský Kříž border crossing]
)
= 120.96B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.4 *
( 3 [Województwo dolnośląskie] *
1.67 [Silesia] *
1.2 [Czermna] *
1 [Lower Silesia] *
1 [Czech Corner] *
1 [Pasterka, Lower Silesian Voivodeship] *
1 [Saint John the Baptist church in Pasterka] *
1 [Kudowa-Zdrój] *
1 [Pstrążna] *
1 [Pasterka Hostel] *
1 [Pasterka-Machovský Kříž border crossing]
)
= 8.4
Outbound
7
Tags on post
Inbound
5
Posts tagging this
Connections
11
Total nodes
Base Node Strength
35
Base Node Influence
1.4
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kudowa-Zdrój 30.33%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Monuments and memorials in Lower Silesian Voivodeship
BROKEN LINKPolish minority in Lower Silesia before 1945
BROKEN LINK