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, 4) = 4
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 2 = 8
Base_Influence (IV) = $inbound / $outbound = 4 / 2 = 2
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 8 *
( 8 [Minsk] *
2 [Ventspils] *
6 [Gomel] *
35 [Alexander Lukashenko] *
238 [Latvia] *
4 [Brest] *
4 [Mogilev] *
9 [Vitebsk] *
1 [Daugavpils] *
4 [Jēkabpils] *
4 [Jūrmala] *
1 [Liepāja] *
4 [Rēzekne] *
1 [Riga] *
1 [Valmiera] *
1 [Ruba] *
1 [Photographs of flags of Belarus in Hrodna] *
63 [Belarus]
)
= 3.71T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 2 [Minsk] *
2 [Ventspils] *
1.5 [Gomel] *
1.4 [Alexander Lukashenko] *
1.21 [Latvia] *
1 [Brest] *
1 [Mogilev] *
1 [Vitebsk] *
1 [Daugavpils] *
1 [Jēkabpils] *
1 [Jūrmala] *
1 [Liepāja] *
1 [Rēzekne] *
1 [Riga] *
1 [Valmiera] *
1 [Ruba] *
1 [Photographs of flags of Belarus in Hrodna] *
0.7778 [Belarus]
)
= 15.87
Outbound
4
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
8
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Latvia 60.25%Belarus 15.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Streets in Hrodna
BROKEN LINK
