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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 30 [Greater Poland] *
49 [Kuyavia] *
49 [Dobrzyń Land] *
1 [Cities in Kuyavia] *
4 [Coats of arms of Kuyavia] *
1 [Folklore of Kuyavia] *
1 [Kuyavian cuisine] *
1 [history of kuyavia] *
1 [kuyavia demography] *
1 [kuyavia geography] *
1 [kuyavian villages] *
1 [rural kuyavia]
)
= 10.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [Greater Poland] *
1 [Kuyavia] *
1 [Dobrzyń Land] *
1 [Cities in Kuyavia] *
1 [Coats of arms of Kuyavia] *
1 [Folklore of Kuyavia] *
1 [Kuyavian cuisine] *
1 [history of kuyavia] *
1 [kuyavia demography] *
1 [kuyavia geography] *
1 [kuyavian villages] *
1 [rural kuyavia]
)
= 1.2
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
12
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Kuyavia 27.84%Dobrzyń Land 27.84%Greater Poland 17.05%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)