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, 2) = 2
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 1 = 2
Base_Influence (IV) = $inbound / $outbound = 2 / 1 = 2
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 2 *
( 2 [Liberec] *
2 [South Bohemian] *
225 [Czech Republic] *
1 [Central Bohemian] *
1 [Hradec Králové] *
4 [Karlovy Vary] *
1 [Moravian-Silesian] *
1 [Olomouc] *
1 [Pardubice] *
4 [Prague] *
1 [South Moravian] *
1 [Ústí nad Labem] *
1 [Vysočina] *
1 [Zlín] *
1 [Česko]
)
= 28.8K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Liberec] *
2 [South Bohemian] *
1 [Czech Republic] *
1 [Central Bohemian] *
1 [Hradec Králové] *
1 [Karlovy Vary] *
1 [Moravian-Silesian] *
1 [Olomouc] *
1 [Pardubice] *
1 [Prague] *
1 [South Moravian] *
1 [Ústí nad Labem] *
1 [Vysočina] *
1 [Zlín] *
1 [Česko]
)
= 8
Outbound
2
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
2
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Czech Republic 90.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Portals in Plzeň
BROKEN LINK
