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, 14) = 14
$outbound = max(1, 14) = 14
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 14 * 14 = 196
Base_Influence (IV) = $inbound / $outbound = 14 / 14 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 196 *
( 1 [Architecture of Trollhättan] *
1 [Bridges in Trollhättan] *
1 [Fallens dagar] *
1 [Film i Väst] *
1 [Saab Car Museum] *
1 [Sculptures in Trollhättan] *
1 [Ships registered in Trollhättan] *
1 [Streets in Trollhättan] *
1 [Trollhättan Falls] *
1 [Trollhättan-Vänersborg Airport] *
1 [Trollhätte Canal] *
4 [Karl Johans torg] *
4 [Överby] *
4 [Drottningtorget] *
1 [Överby, Trollhättan] *
1 [Drottningtorget, Trollhättan] *
1 [Karl Johans torg, Trollhättan]
)
= 12.5K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Architecture of Trollhättan] *
1 [Bridges in Trollhättan] *
1 [Fallens dagar] *
1 [Film i Väst] *
1 [Saab Car Museum] *
1 [Sculptures in Trollhättan] *
1 [Ships registered in Trollhättan] *
1 [Streets in Trollhättan] *
1 [Trollhättan Falls] *
1 [Trollhättan-Vänersborg Airport] *
1 [Trollhätte Canal] *
1 [Karl Johans torg] *
1 [Överby] *
1 [Drottningtorget] *
1 [Överby, Trollhättan] *
1 [Drottningtorget, Trollhättan] *
1 [Karl Johans torg, Trollhättan]
)
= 1
Outbound
14
Tags on post
Inbound
14
Posts tagging this
Connections
17
Total nodes
Base Node Strength
196
Base Node Influence
1
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)