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 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 169 [Noël Ensemble] *
144 [Ensemble (4)] *
49 [Les Enfants Du Pays] *
1 [36 Front Populaire] *
36 [Françoise Hardy] *
16 [Nana Mouskouri] *
36 [Faudel] *
1 [Larusso] *
25 [Francis Cabrel] *
36 [Michel Fugain] *
4 [Patricia Kaas] *
36 [Jane Birkin] *
16 [Eddy Mitchell] *
25 [Sylvie Vartan] *
4 [Garou] *
81 [Jean-Jacques Goldman] *
9 [Étienne Daho] *
9 [Catherine Ringer] *
81 [Cheb Khaled] *
81 [Jean-Louis Aubert] *
4 [Khaled] *
4 [Rachid Taha] *
9 [Souad Massi]
)
= 5.09 x 10^29
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Noël Ensemble] *
1 [Ensemble (4)] *
1 [Les Enfants Du Pays] *
1 [36 Front Populaire] *
1 [Françoise Hardy] *
1 [Nana Mouskouri] *
1 [Faudel] *
1 [Larusso] *
1 [Francis Cabrel] *
1 [Michel Fugain] *
1 [Patricia Kaas] *
1 [Jane Birkin] *
1 [Eddy Mitchell] *
1 [Sylvie Vartan] *
1 [Garou] *
1 [Jean-Jacques Goldman] *
1 [Étienne Daho] *
1 [Catherine Ringer] *
1 [Cheb Khaled] *
1 [Jean-Louis Aubert] *
1 [Khaled] *
1 [Rachid Taha] *
1 [Souad Massi]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
23
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.79%
(5.09 × 1029 overall)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)