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 15 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 240 [Second Viennese School] *
1 [Ernst Krenek] *
49 [Anton Webern] *
36 [Alban Berg] *
1 [alan berg] *
361 [Arnold Schoenberg] *
4 [Robert Gerhard] *
4 [Nikos Skalkottas] *
4 [Hanns Eisler] *
9 [Rudolf Kolisch] *
1 [Erwin Stein] *
1 [Alexander Zemlinsky] *
25 [Theodor W. Adorno] *
1 [Viennese trichords] *
1 [Karl Rankl]
)
= 2.2T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.07 [Second Viennese School] *
1 [Ernst Krenek] *
1 [Anton Webern] *
1 [Alban Berg] *
1 [alan berg] *
1 [Arnold Schoenberg] *
1 [Robert Gerhard] *
1 [Nikos Skalkottas] *
1 [Hanns Eisler] *
1 [Rudolf Kolisch] *
1 [Erwin Stein] *
1 [Alexander Zemlinsky] *
1 [Theodor W. Adorno] *
1 [Viennese trichords] *
1 [Karl Rankl]
)
= 1.07
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
15
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Arnold Schoenberg 48.85%Second Viennese School 32.48%Anton Webern 6.63%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
