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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 144 [Christiane Legrand] *
16 [Claude Germain] *
64 [Claudine Meunier] *
4 [Jacques Denjean] *
16 [Jacques Hendrix] *
324 [Jean Claude Briodin] *
4 [Louis Aldebert] *
324 [Les Barclay] *
81 [Anne Germain] *
36 [Bob Quibel] *
1 [Claire Leclerc] *
25 [Danielle Licari] *
1 [Francesca Solleville] *
16 [Jean Cussac] *
9 [Jeanette Baucomont] *
1 [Michel Richez] *
1 [Genevià ̈ve Roblot] *
1 [Michà ̈le Bertin]
)
= 4.16 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Christiane Legrand] *
1 [Claude Germain] *
1 [Claudine Meunier] *
1 [Jacques Denjean] *
1 [Jacques Hendrix] *
1 [Jean Claude Briodin] *
1 [Louis Aldebert] *
1 [Les Barclay] *
1 [Anne Germain] *
1 [Bob Quibel] *
1 [Claire Leclerc] *
1 [Danielle Licari] *
1 [Francesca Solleville] *
1 [Jean Cussac] *
1 [Jeanette Baucomont] *
1 [Michel Richez] *
1 [Genevià ̈ve Roblot] *
1 [Michà ̈le Bertin]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(4.16 × 1019 overall)
Dominant nodes (excluded from chart)Jean Claude Briodin 30.31%Les Barclay 30.31%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)