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, 11) = 11
$outbound = max(1, 11) = 11
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 11 = 121
Base_Influence (IV) = $inbound / $outbound = 11 / 11 = 1
// 3. Exponential Network Values (accumulating 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 121 *
( 8 [Swiss Confederation] *
45 [Lake Lucerne] *
650 [Switzerland] *
16 [Uri] *
4 [Altdorf railway station] *
1 [Cultural properties in Altdorf] *
1 [Eggberge] *
1 [Eidgenössisches Getreidelager Altdorf] *
1 [Kirchenschatz-Museum St. Martin] *
1 [Strassenbahn Altdorf–Flüelen] *
4 [Telldenkmal und Türmli] *
1 [Verzweigung Altdorf] *
9 [Tell-Denkmal, Altdorf] *
4 [Tell-Denkmal] *
1 [Altdorf railway station building]
)
= 260.94B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Swiss Confederation] *
1.8 [Lake Lucerne] *
1.04 [Switzerland] *
1 [Uri] *
1 [Altdorf railway station] *
1 [Cultural properties in Altdorf] *
1 [Eggberge] *
1 [Eidgenössisches Getreidelager Altdorf] *
1 [Kirchenschatz-Museum St. Martin] *
1 [Strassenbahn Altdorf–Flüelen] *
1 [Telldenkmal und Türmli] *
1 [Verzweigung Altdorf] *
1 [Tell-Denkmal, Altdorf] *
1 [Tell-Denkmal] *
1 [Altdorf railway station building]
)
= 3.74
Outbound
11
Tags on post
Inbound
11
Posts tagging this
Connections
15
Total nodes
Base Node Strength
121
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Switzerland 74.88%Lake Lucerne 5.18%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
