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, 5) = 5
$outbound = max(1, 5) = 5
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 5 * 5 = 25
Base_Influence (IV) = $inbound / $outbound = 5 / 5 = 1
// 3. Exponential Network Values (accumulating 39 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 25 *
( 20 [François Berléand] *
20 [Pierre Laroche] *
1 [Van Gogh] *
9 [Michelle Goddet] *
324 [The School of Flesh] *
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 Lindon] *
1 [Vincent Martinez] *
1 [Joyeux Noel] *
324 [The Conquest] *
1 [Caché] *
1 [Dominique Besnehard] *
1 [Emmanuel Noblet] *
1 [Fabrice Cals] *
1 [Florence Pernel] *
1 [Hippolyte Girardot] *
1 [Laurent Olmedo] *
1 [Mathias Mlekuz] *
1 [Michel Bompoil] *
16 [Nicolas Moreau] *
1 [Pierre Cassignard] *
1 [Samuel Labarthe] *
1 [Denis Podalydès] *
1 [Gérard Chaillou] *
1 [Grégory Fitoussi] *
1 [Michèle Moretti] *
1 [Saïda Jawad] *
1 [Yann Babilée]
)
= 9.45 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [François Berléand] *
1.25 [Pierre Laroche] *
1 [Van Gogh] *
1 [Michelle Goddet] *
1 [The School of Flesh] *
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 Lindon] *
1 [Vincent Martinez] *
1 [Joyeux Noel] *
1 [The Conquest] *
1 [Caché] *
1 [Dominique Besnehard] *
1 [Emmanuel Noblet] *
1 [Fabrice Cals] *
1 [Florence Pernel] *
1 [Hippolyte Girardot] *
1 [Laurent Olmedo] *
1 [Mathias Mlekuz] *
1 [Michel Bompoil] *
1 [Nicolas Moreau] *
1 [Pierre Cassignard] *
1 [Samuel Labarthe] *
1 [Denis Podalydès] *
1 [Gérard Chaillou] *
1 [Grégory Fitoussi] *
1 [Michèle Moretti] *
1 [Saïda Jawad] *
1 [Yann Babilée]
)
= 1.56
Outbound
5
Tags on post
Inbound
5
Posts tagging this
Connections
39
Total nodes
Base Node Strength
25
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.83%
(9.45 × 1017 overall)
Dominant nodes (excluded from chart)The School of Flesh 36.73%The Conquest 36.73%Danièle Dubroux 2.83%Isabelle Huppert 2.83%Jean-Claude Dauphin 2.83%Jean-Louis Richard 2.83%François Berléand 2.27%Pierre Laroche 2.27%Roxane Mesquida 1.81%Nicolas Moreau 1.81%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)