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, 3) = 3
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 10 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 70 [Slovakia] *
12 [Nitra] *
1 [Streets in Nitra] *
1 [Bell tower in Kouřim] *
36 [Lions of Kouřim in Lapidary of NM Prague] *
1 [bohemian lapidary art] *
1 [czech gothic architecture] *
1 [medieval sculpture] *
1 [national museum prague] *
1 [sandstone carving]
)
= 181.4K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 1.43 [Slovakia] *
1.33 [Nitra] *
1 [Streets in Nitra] *
1 [Bell tower in Kouřim] *
1 [Lions of Kouřim in Lapidary of NM Prague] *
1 [bohemian lapidary art] *
1 [czech gothic architecture] *
1 [medieval sculpture] *
1 [national museum prague] *
1 [sandstone carving]
)
= 2.86
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
10
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Slovakia 53.44%Lions of Kouřim in Lapidary of NM Prague 27.48%Nitra 9.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)