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, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 42 [UCLA] *
240 [Second Viennese School] *
4 [Vienna Conservatory] *
361 [Arnold Schoenberg] *
36 [anton door] *
25 [Lars Erik Larsson] *
1 [Leon Kirchner] *
4 [Giacinto Scelsi] *
4 [Alexander von Zemlinsky] *
36 [Alban Berg] *
4 [Robert Gerhard] *
4 [Nikos Skalkottas] *
4 [Hanns Eisler] *
25 [Theodor W. Adorno] *
1 [Stefania Turkewich] *
1 [Oscar Levant] *
1 [Egon Wellesz] *
1 [Earl Kim] *
1 [Dika Newlin] *
1 [Charles Rosen] *
25 [Simon Sechter] *
1 [Stephan Elmas] *
1 [Robert Fischhof] *
4 [Fritz Steinbach]
)
= 1.09 x 10^19
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [UCLA] *
1.07 [Second Viennese School] *
1 [Vienna Conservatory] *
1 [Arnold Schoenberg] *
1 [anton door] *
1 [Lars Erik Larsson] *
1 [Leon Kirchner] *
1 [Giacinto Scelsi] *
1 [Alexander von Zemlinsky] *
1 [Alban Berg] *
1 [Robert Gerhard] *
1 [Nikos Skalkottas] *
1 [Hanns Eisler] *
1 [Theodor W. Adorno] *
1 [Stefania Turkewich] *
1 [Oscar Levant] *
1 [Egon Wellesz] *
1 [Earl Kim] *
1 [Dika Newlin] *
1 [Charles Rosen] *
1 [Simon Sechter] *
1 [Stephan Elmas] *
1 [Robert Fischhof] *
1 [Fritz Steinbach]
)
= 1.24
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
24
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.08%
(1.09 × 1019 overall)
Dominant nodes (excluded from chart)Arnold Schoenberg 43.18%Second Viennese School 28.71%UCLA 5.02%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)