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, 3) = 3
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 4 = 12
Base_Influence (IV) = $inbound / $outbound = 3 / 4 = 0.75
// 3. Exponential Network Values (accumulating 14 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 12 *
( 40 [The Paris Conservatory 1795] *
1.4K [Conservatoire de Paris] *
16 [Papillon Denis-Pierre-Jean] *
16 [Charles Valentin Alkan] *
4 [Jacques-Nicolas Lemmens] *
9 [Georges Bizet] *
100 [César Franck] *
49 [Claude Debussy] *
36 [Antoine-Joseph Fetis] *
4 [Denis-Pierre-Jean Papillon de la Ferté 1727] *
1 [Menus-Plaisirs du Roi] *
4 [pliny the edler] *
90 [The Paris Conservatory] *
12 [École Royale de Chant]
)
= 1.89 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 0.75 *
( 1.6 [The Paris Conservatory 1795] *
1.08 [Conservatoire de Paris] *
1 [Papillon Denis-Pierre-Jean] *
1 [Charles Valentin Alkan] *
1 [Jacques-Nicolas Lemmens] *
1 [Georges Bizet] *
1 [César Franck] *
1 [Claude Debussy] *
1 [Antoine-Joseph Fetis] *
1 [Denis-Pierre-Jean Papillon de la Ferté 1727] *
1 [Menus-Plaisirs du Roi] *
1 [pliny the edler] *
0.9 [The Paris Conservatory] *
0.75 [École Royale de Chant]
)
= 0.8775
Outbound
3
Tags on post
Inbound
4
Posts tagging this
Connections
14
Total nodes
Base Node Strength
12
Base Node Influence
0.75
Strength Share (vs Direct Neighbours)
0.67%
(1.89 × 1019 overall)
Dominant nodes (excluded from chart)Conservatoire de Paris 78.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)