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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Richard Guedj] *
306 [A View of Love] *
9 [Jean Dujardin] *
16 [Natalie Carter] *
4 [Michel Aumont] *
25 [Emilie Chesnais] *
1 [Jacques Valles] *
1 [Michelle Marquais] *
16 [Muriel Combeau] *
1 [Nicole Riston] *
16 [Pierre Rochefort] *
1 [Romain Millot] *
1 [Sandrine Kiberlain] *
1 [Toni Servillo] *
1 [Emma Maynadié] *
1 [Pauline Bélier] *
1 [Solène Forveille] *
1 [Le bourgeois gentilhomme] *
1 [Tout le plaisir est pour moi] *
1 [Peau d'homme coeur de bête]
)
= 216.58B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Richard Guedj] *
1.06 [A View of Love] *
1 [Jean Dujardin] *
1 [Natalie Carter] *
1 [Michel Aumont] *
1 [Emilie Chesnais] *
1 [Jacques Valles] *
1 [Michelle Marquais] *
1 [Muriel Combeau] *
1 [Nicole Riston] *
1 [Pierre Rochefort] *
1 [Romain Millot] *
1 [Sandrine Kiberlain] *
1 [Toni Servillo] *
1 [Emma Maynadié] *
1 [Pauline Bélier] *
1 [Solène Forveille] *
1 [Le bourgeois gentilhomme] *
1 [Tout le plaisir est pour moi] *
1 [Peau d'homme coeur de bête]
)
= 1.41
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
20
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)A View of Love 70.83%Emilie Chesnais 5.79%Natalie Carter 3.70%Muriel Combeau 3.70%Pierre Rochefort 3.70%Richard Guedj 2.78%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)