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 27 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 8 *
( 45 [Lake Lucerne] *
650 [Switzerland] *
16 [Uri] *
121 [Altdorf] *
100 [Zugdidi] *
1 [Aargau] *
1 [Appenzell Ausserrhoden] *
1 [Appenzell Innerrhoden] *
1 [Basel-Landschaft] *
4 [Basel-Stadt] *
1 [Bern] *
1 [Geneva] *
1 [Glarus] *
1 [Graubünden;Grisons] *
1 [Jura] *
1 [Luzern] *
1 [Neuchâtel] *
1 [Nidwalden] *
1 [Obwalden] *
1 [Schwyz] *
1 [Solothurn] *
1 [St. Gallen] *
1 [Thurgau] *
1 [Ticino] *
1 [Valais] *
1 [Vaud] *
4 [Zug]
)
= 724.84B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 2 *
( 1.8 [Lake Lucerne] *
1.04 [Switzerland] *
1 [Uri] *
1 [Altdorf] *
1 [Zugdidi] *
1 [Aargau] *
1 [Appenzell Ausserrhoden] *
1 [Appenzell Innerrhoden] *
1 [Basel-Landschaft] *
1 [Basel-Stadt] *
1 [Bern] *
1 [Geneva] *
1 [Glarus] *
1 [Graubünden;Grisons] *
1 [Jura] *
1 [Luzern] *
1 [Neuchâtel] *
1 [Nidwalden] *
1 [Obwalden] *
1 [Schwyz] *
1 [Solothurn] *
1 [St. Gallen] *
1 [Thurgau] *
1 [Ticino] *
1 [Valais] *
1 [Vaud] *
1 [Zug]
)
= 3.74
Outbound
4
Tags on post
Inbound
2
Posts tagging this
Connections
27
Total nodes
Base Node Strength
8
Base Node Influence
2
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Switzerland 67.15%Altdorf 12.50%Zugdidi 10.33%Lake Lucerne 4.65%Uri 1.65%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Objects in Switzerland
BROKEN LINKScience and technology in Switzerland
BROKEN LINK