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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [François Berléand] *
20 [Pierre Laroche] *
9 [Michelle Goddet] *
324 [The School of Flesh] *
25 [Bernard Le Coq] *
25 [Danièle Dubroux] *
25 [Isabelle Huppert] *
1 [Jan-Michell] *
25 [Jean-Claude Dauphin] *
25 [Jean-Louis Richard] *
1 [Jean-Pierre Barbou] *
1 [Jonathan Ubrette] *
1 [Laurent Jumeaucourt] *
1 [Nicolas Pignon] *
1 [Richard Schroeder] *
16 [Roxane Mesquida] *
1 [Vincent Lindon] *
1 [Vincent Martinez]
)
= 182.25T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [François Berléand] *
1.25 [Pierre Laroche] *
1 [Michelle Goddet] *
1 [The School of Flesh] *
1 [Bernard Le Coq] *
1 [Danièle Dubroux] *
1 [Isabelle Huppert] *
1 [Jan-Michell] *
1 [Jean-Claude Dauphin] *
1 [Jean-Louis Richard] *
1 [Jean-Pierre Barbou] *
1 [Jonathan Ubrette] *
1 [Laurent Jumeaucourt] *
1 [Nicolas Pignon] *
1 [Richard Schroeder] *
1 [Roxane Mesquida] *
1 [Vincent Lindon] *
1 [Vincent Martinez]
)
= 1.56
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The School of Flesh 61.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)