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 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 36 [Albert Roussel] *
4 [Émile Decombes] *
9 [Furniture music] *
1 [Impressionism (1875 or 1890–1925)] *
81 [Edgard Varèse] *
25 [Vincent d'Indy] *
25 [Eugène Gigout] *
1 [L'Eternelle chanson] *
1 [L'Etrange capture] *
36 [Reynaldo Hahn] *
36 [Steve Reich] *
56 [John Cage]
)
= 76.19T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Albert Roussel] *
1 [Émile Decombes] *
1 [Furniture music] *
1 [Impressionism (1875 or 1890–1925)] *
1 [Edgard Varèse] *
1 [Vincent d'Indy] *
1 [Eugène Gigout] *
1 [L'Eternelle chanson] *
1 [L'Etrange capture] *
1 [Reynaldo Hahn] *
1 [Steve Reich] *
0.875 [John Cage]
)
= 0.875
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
12
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
