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Vincent MartinezRichard SchroederIsabelle HuppertJonathan UbretteFrançois BerléandRoxane MesquidaMichelle GoddetThe School of FleshJan-MichellJean-Claude Dauphin

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Analyzing Network Connections...

Network Profile

Overall Strength
i
0.19% of network
(182.25T)
Strength Breakdown
  • This Post (0.19%)
  • Bernard Le Coq (4.78%)
  • Danièle Dubroux (4.78%)
  • Isabelle Huppert (4.78%)
  • Jean-Claude Dauphin (4.78%)
  • Jean-Louis Richard (4.78%)
  • François Berléand (3.82%)
  • Pierre Laroche (3.82%)
  • Roxane Mesquida (3.06%)
  • Michelle Goddet (1.72%)
  • Jan-Michell (0.19%)
  • Jean-Pierre Barbou (0.19%)
  • Jonathan Ubrette (0.19%)
  • Laurent Jumeaucourt (0.19%)
  • Marthe Keller (0.19%)
  • Nicolas Pignon (0.19%)
  • Richard Schroeder (0.19%)
  • Vincent Martinez (0.19%)
Dominant nodes (excluded from chart)
The School of Flesh 61.95%
Influence Score
i
5.13% of network
(1.56)
Influence Breakdown
  • This Post (5.13%)
  • François Berléand (6.41%)
  • Pierre Laroche (6.41%)
  • Michelle Goddet (5.13%)
  • The School of Flesh (5.13%)
  • Bernard Le Coq (5.13%)
  • Danièle Dubroux (5.13%)
  • Isabelle Huppert (5.13%)
  • Jan-Michell (5.13%)
  • Jean-Claude Dauphin (5.13%)
  • Jean-Louis Richard (5.13%)
  • Jean-Pierre Barbou (5.13%)
  • Jonathan Ubrette (5.13%)
  • Laurent Jumeaucourt (5.13%)
  • Marthe Keller (5.13%)
  • Nicolas Pignon (5.13%)
  • Richard Schroeder (5.13%)
  • Roxane Mesquida (5.13%)
  • Vincent Martinez (5.13%)
Direct Connections 2

Node & Network Details

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 [Marthe Keller] *
                            1 [Nicolas Pignon] *
                            1 [Richard Schroeder] *
                            16 [Roxane Mesquida] *
                            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 [Marthe Keller] *
                            1 [Nicolas Pignon] *
                            1 [Richard Schroeder] *
                            1 [Roxane Mesquida] *
                            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)
0.19% (182.25T overall)
  • This Post (0.19%)
  • Bernard Le Coq (4.78%)
  • Danièle Dubroux (4.78%)
  • Isabelle Huppert (4.78%)
  • Jean-Claude Dauphin (4.78%)
  • Jean-Louis Richard (4.78%)
  • François Berléand (3.82%)
  • Pierre Laroche (3.82%)
  • Roxane Mesquida (3.06%)
  • Michelle Goddet (1.72%)
  • Jan-Michell (0.19%)
  • Jean-Pierre Barbou (0.19%)
  • Jonathan Ubrette (0.19%)
  • Laurent Jumeaucourt (0.19%)
  • Marthe Keller (0.19%)
  • Nicolas Pignon (0.19%)
  • Richard Schroeder (0.19%)
  • Vincent Martinez (0.19%)
Dominant nodes (excluded from chart)
The School of Flesh 61.95%
Influence Share (vs Direct Neighbours)
5.13% (1.56 overall)
  • This Post (5.13%)
  • François Berléand (6.41%)
  • Pierre Laroche (6.41%)
  • Michelle Goddet (5.13%)
  • The School of Flesh (5.13%)
  • Bernard Le Coq (5.13%)
  • Danièle Dubroux (5.13%)
  • Isabelle Huppert (5.13%)
  • Jan-Michell (5.13%)
  • Jean-Claude Dauphin (5.13%)
  • Jean-Louis Richard (5.13%)
  • Jean-Pierre Barbou (5.13%)
  • Jonathan Ubrette (5.13%)
  • Laurent Jumeaucourt (5.13%)
  • Marthe Keller (5.13%)
  • Nicolas Pignon (5.13%)
  • Richard Schroeder (5.13%)
  • Roxane Mesquida (5.13%)
  • Vincent Martinez (5.13%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
François Berléand ↗
Str: 20Inf: 1.25
Pierre Laroche ↗
Str: 20Inf: 1.25
Michelle Goddet ↗
Str: 9Inf: 1
The School of Flesh ↗
Str: 324Inf: 1
Bernard Le Coq ↗
Str: 25Inf: 1
Danièle Dubroux ↗
Str: 25Inf: 1
Isabelle Huppert ↗
Str: 25Inf: 1
Jan-Michell ↗
Str: 1Inf: 1
Jean-Claude Dauphin ↗
Str: 25Inf: 1
Jean-Louis Richard ↗
Str: 25Inf: 1
Jean-Pierre Barbou ↗
Str: 1Inf: 1
Jonathan Ubrette ↗
Str: 1Inf: 1
Laurent Jumeaucourt ↗
Str: 1Inf: 1
Marthe Keller ↗
Str: 1Inf: 1
Nicolas Pignon ↗
Str: 1Inf: 1
Richard Schroeder ↗
Str: 1Inf: 1
Roxane Mesquida ↗
Str: 16Inf: 1
Vincent Martinez ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Vincent Martinez ↗
Str: 1Inf: 1
Roxane Mesquida ↗
Str: 16Inf: 1
Richard Schroeder ↗
Str: 1Inf: 1
Nicolas Pignon ↗
Str: 1Inf: 1
Marthe Keller ↗
Str: 1Inf: 1
Laurent Jumeaucourt ↗
Str: 1Inf: 1
Jonathan Ubrette ↗
Str: 1Inf: 1
Jean-Pierre Barbou ↗
Str: 1Inf: 1
Jean-Louis Richard ↗
Str: 25Inf: 1
Jean-Claude Dauphin ↗
Str: 25Inf: 1
Jan-Michell ↗
Str: 1Inf: 1
Isabelle Huppert ↗
Str: 25Inf: 1
Danièle Dubroux ↗
Str: 25Inf: 1
Bernard Le Coq ↗
Str: 25Inf: 1
The School of Flesh ↗
Str: 324Inf: 1
Michelle Goddet ↗
Str: 9Inf: 1
Pierre Laroche ↗
Str: 20Inf: 1.25
François Berléand ↗
Str: 20Inf: 1.25

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
The School of Flesh
Inbound Posts (1)
The School of Flesh
Last calculated: Jun 9, 7:12 AM
19

Related Content

Actors

  • François Berléand
  • Marthe Keller
  • Isabelle Huppert
  • Nicolas Pignon
  • Jan-Michell
  • Pierre Laroche
  • Jean-Claude Dauphin
  • Richard Schroeder
  • Michelle Goddet
  • Jean-Louis Richard
  • Roxane Mesquida
  • Jean-Pierre Barbou
  • Vincent Martinez
  • Bernard Le Coq
  • Jonathan Ubrette
  • Danièle Dubroux
  • Laurent Jumeaucourt

Films

  • The School of Flesh