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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Richard Guedj] *
306 [A View of Love] *
9 [Jean Dujardin] *
16 [Natalie Carter] *
4 [Michel Aumont] *
25 [Emilie Chesnais] *
16 [Emilie Lafarge] *
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]
)
= 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 [Emilie Lafarge] *
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]
)
= 1.41
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)A View of Love 71.33%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)