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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 3 [Zingst] *
2 [Kashubia] *
1 [Chełmno Land] *
4 [Pomeranian Voivodeship] *
4 [West Pomeranian Voivodeship] *
100 [Western Pomerania] *
1 [Województwo pomorskie] *
4 [Województwo zachodniopomorskie] *
1 [Anklam] *
1 [Barth] *
4 [Damgarten] *
1 [Grimmen] *
1 [Hiddensee] *
1 [Swedish Pomerania] *
1 [Ueckermünde] *
1 [Usedom]
)
= 3.84M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Zingst] *
2 [Kashubia] *
1 [Chełmno Land] *
1 [Pomeranian Voivodeship] *
1 [West Pomeranian Voivodeship] *
1 [Western Pomerania] *
1 [Województwo pomorskie] *
1 [Województwo zachodniopomorskie] *
1 [Anklam] *
1 [Barth] *
1 [Damgarten] *
1 [Grimmen] *
1 [Hiddensee] *
1 [Swedish Pomerania] *
1 [Ueckermünde] *
1 [Usedom]
)
= 6
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
16
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Western Pomerania 64.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
