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, 12) = 12
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 12 = 132
Base_Influence (IV) = $inbound / $outbound = 11 / 12 = 0.9167
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 132 *
( 2 [Czechoslovak monument, Mauthausen] *
1 [Bahnhof Mauthausen] *
1 [Bridges in Mauthausen] *
1 [Cultural heritage monuments in Mauthausen] *
1 [Danube in Mauthausen] *
1 [Fire departments in Mauthausen] *
1 [Glauco Vikasco] *
1 [Natural monuments in Mauthausen] *
1 [Squares in Mauthausen] *
1 [Streets in Mauthausen] *
1 [Donauradfähre Ennsegg] *
2 [Czechoslovak monument]
)
= 528
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.9167 *
( 2 [Czechoslovak monument, Mauthausen] *
1 [Bahnhof Mauthausen] *
1 [Bridges in Mauthausen] *
1 [Cultural heritage monuments in Mauthausen] *
1 [Danube in Mauthausen] *
1 [Fire departments in Mauthausen] *
1 [Glauco Vikasco] *
1 [Natural monuments in Mauthausen] *
1 [Squares in Mauthausen] *
1 [Streets in Mauthausen] *
1 [Donauradfähre Ennsegg] *
0.5 [Czechoslovak monument]
)
= 0.9167
Outbound
11
Tags on post
Inbound
12
Posts tagging this
Connections
12
Total nodes
Base Node Strength
132
Base Node Influence
0.9167
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)