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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Jean-Claude Brialy] *
25 [Jean-Louis Richard] *
361 [The Bride Wore Black] *
25 [Jeanne Moreau] *
9 [Michael Lonsdale] *
1 [Alexandra Stewart] *
1 [Charles Denner] *
1 [Christophe Bruno] *
1 [Claude Rich] *
1 [Daniel Boulanger] *
1 [Jacqueline Rouillard] *
1 [Luce Fabiole] *
1 [Marcel Berbert] *
1 [Michel Bouquet] *
1 [Paul Pavel] *
1 [Serge Rousseau] *
1 [Sylvine Delannoy] *
1 [Van Doude] *
1 [Michèle Montfort]
)
= 8.12M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jean-Claude Brialy] *
1 [Jean-Louis Richard] *
1 [The Bride Wore Black] *
1 [Jeanne Moreau] *
1 [Michael Lonsdale] *
1 [Alexandra Stewart] *
1 [Charles Denner] *
1 [Christophe Bruno] *
1 [Claude Rich] *
1 [Daniel Boulanger] *
1 [Jacqueline Rouillard] *
1 [Luce Fabiole] *
1 [Marcel Berbert] *
1 [Michel Bouquet] *
1 [Paul Pavel] *
1 [Serge Rousseau] *
1 [Sylvine Delannoy] *
1 [Van Doude] *
1 [Michèle Montfort]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Bride Wore Black 82.23%Jean-Louis Richard 5.69%Jeanne Moreau 5.69%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)