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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 16 [Aliash Tepina] *
361 [Usodno vino] *
1 [Ajda Toman] *
1 [Ales Valic] *
1 [Ana Ruter] *
1 [Anja Drnovsek] *
16 [Brane Grubar] *
1 [Darja Reichman] *
1 [Domen Valic] *
1 [Evan Pavlin] *
1 [Filip Stritof] *
1 [Gregor Gruden] *
1 [Inja Zalta] *
1 [Jan Bucar] *
1 [Janez Hocevar] *
16 [Klemen Janezic] *
1 [Manca Ogorevc] *
1 [Mojca Funkl] *
1 [Teja Glazar]
)
= 1.48M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Aliash Tepina] *
1 [Usodno vino] *
1 [Ajda Toman] *
1 [Ales Valic] *
1 [Ana Ruter] *
1 [Anja Drnovsek] *
1 [Brane Grubar] *
1 [Darja Reichman] *
1 [Domen Valic] *
1 [Evan Pavlin] *
1 [Filip Stritof] *
1 [Gregor Gruden] *
1 [Inja Zalta] *
1 [Jan Bucar] *
1 [Janez Hocevar] *
1 [Klemen Janezic] *
1 [Manca Ogorevc] *
1 [Mojca Funkl] *
1 [Teja Glazar]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Usodno vino 84.94%Aliash Tepina 3.76%Brane Grubar 3.76%Klemen Janezic 3.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)