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, 10) = 10
$outbound = max(1, 10) = 10
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 10 * 10 = 100
Base_Influence (IV) = $inbound / $outbound = 10 / 10 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 100 *
( 3 [Zingst] *
2 [Kashubia] *
25 [Pomerania] *
1 [Chełmno Land] *
4 [Pomeranian Voivodeship] *
4 [West Pomeranian Voivodeship] *
1 [Anklam] *
1 [Barth] *
4 [Damgarten] *
1 [Grimmen] *
1 [Hiddensee] *
1 [Swedish Pomerania] *
1 [Ueckermünde] *
1 [Usedom] *
1 [Ribnitz-Damgarten]
)
= 960K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 3 [Zingst] *
2 [Kashubia] *
1 [Pomerania] *
1 [Chełmno Land] *
1 [Pomeranian Voivodeship] *
1 [West Pomeranian Voivodeship] *
1 [Anklam] *
1 [Barth] *
1 [Damgarten] *
1 [Grimmen] *
1 [Hiddensee] *
1 [Swedish Pomerania] *
1 [Ueckermünde] *
1 [Usedom] *
1 [Ribnitz-Damgarten]
)
= 6
Outbound
10
Tags on post
Inbound
10
Posts tagging this
Connections
15
Total nodes
Base Node Strength
100
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pomerania 16.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)