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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 4 [Viciebsk] *
8 [Grodno] *
8 [Minsk] *
2 [Ventspils] *
6 [Gomel] *
35 [Alexander Lukashenko] *
238 [Latvia] *
4 [Brest] *
4 [Mogilev] *
1 [Daugavpils] *
4 [Jēkabpils] *
4 [Jūrmala] *
1 [Liepāja] *
4 [Rēzekne] *
1 [Riga] *
1 [Valmiera] *
1 [Ruba] *
9 [Viciebsk Castle] *
1 [Plans of Viciebsk Castle] *
63 [Belarus]
)
= 133.72T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 4 [Viciebsk] *
2 [Grodno] *
2 [Minsk] *
2 [Ventspils] *
1.5 [Gomel] *
1.4 [Alexander Lukashenko] *
1.21 [Latvia] *
1 [Brest] *
1 [Mogilev] *
1 [Daugavpils] *
1 [Jēkabpils] *
1 [Jūrmala] *
1 [Liepāja] *
1 [Rēzekne] *
1 [Riga] *
1 [Valmiera] *
1 [Ruba] *
1 [Viciebsk Castle] *
1 [Plans of Viciebsk Castle] *
0.7778 [Belarus]
)
= 63.47
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Latvia 58.33%Belarus 15.44%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
