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 *
( 72 [Serge Collot] *
361 [Orchestre De Chambre De Toulouse] *
1 [Albert Calvayrac] *
1 [Ana Sanchez] *
1 [Anne Gaurier] *
1 [Audrey Dupont] *
1 [Etienne Larrat] *
1 [Gaston Adole] *
1 [Georges Armand] *
1 [Georges Michon] *
1 [Gilbert Voisin] *
1 [Gilles Colliard] *
1 [Jean Cros] *
9 [Lily Laskine] *
9 [Michel Debost] *
1 [Nabi Cabestany] *
1 [Nicolas Kononovitch] *
1 [Anaà ̄s Holzmann] *
1 [Carlos VizcaÃno GijÃ3n]
)
= 2.11M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [Serge Collot] *
1 [Orchestre De Chambre De Toulouse] *
1 [Albert Calvayrac] *
1 [Ana Sanchez] *
1 [Anne Gaurier] *
1 [Audrey Dupont] *
1 [Etienne Larrat] *
1 [Gaston Adole] *
1 [Georges Armand] *
1 [Georges Michon] *
1 [Gilbert Voisin] *
1 [Gilles Colliard] *
1 [Jean Cros] *
1 [Lily Laskine] *
1 [Michel Debost] *
1 [Nabi Cabestany] *
1 [Nicolas Kononovitch] *
1 [Anaà ̄s Holzmann] *
1 [Carlos VizcaÃno GijÃ3n]
)
= 1.13
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)Orchestre De Chambre De Toulouse 77.30%Serge Collot 15.42%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)