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, 12) = 12
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 12 * 11 = 132
Base_Influence (IV) = $inbound / $outbound = 12 / 11 = 1.0909
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 132 *
( 1 [Bahnhof Gernsheim] *
1 [Hessische Triangulation Basis Gernsheim 1908] *
1 [Kastell Gernsheim] *
1 [Mittelaltermarkt Gernsheim] *
1 [Port of Gernsheim] *
1 [Postcards of Gernsheim] *
1 [Stolpersteine in Gernsheim] *
1 [Symbols from Gernsheim] *
1 [TSG Blau-Silber Gernsheim] *
1 [Wasserschutzpolizei Gernsheim] *
1 [Rheinbrücke Gernsheim]
)
= 132
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.0909 *
( 1 [Bahnhof Gernsheim] *
1 [Hessische Triangulation Basis Gernsheim 1908] *
1 [Kastell Gernsheim] *
1 [Mittelaltermarkt Gernsheim] *
1 [Port of Gernsheim] *
1 [Postcards of Gernsheim] *
1 [Stolpersteine in Gernsheim] *
1 [Symbols from Gernsheim] *
1 [TSG Blau-Silber Gernsheim] *
1 [Wasserschutzpolizei Gernsheim] *
1 [Rheinbrücke Gernsheim]
)
= 1.09
Outbound
12
Tags on post
Inbound
11
Posts tagging this
Connections
11
Total nodes
Base Node Strength
132
Base Node Influence
1.0909
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Friedrich Gernsheim
BROKEN LINK