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] *
36 [Alban Berg] *
4 [Robert Gerhard] *
4 [Nikos Skalkottas] *
4 [Hanns Eisler] *
1 [Viktor Ullmann] *
9 [Rudolf Kolisch] *
1 [Erwin Stein] *
1 [Alexander Zemlinsky] *
25 [Theodor W. Adorno] *
1 [Viennese trichords] *
1 [Karl Rankl] *
342 [Arnold Schoenberg] *
42 [Anton Webern]
)
= 1.79T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.07 [Second Viennese School] *
1 [Ernst Krenek] *
1 [Alban Berg] *
1 [Robert Gerhard] *
1 [Nikos Skalkottas] *
1 [Hanns Eisler] *
1 [Viktor Ullmann] *
1 [Rudolf Kolisch] *
1 [Erwin Stein] *
1 [Alexander Zemlinsky] *
1 [Theodor W. Adorno] *
1 [Viennese trichords] *
1 [Karl Rankl] *
0.9474 [Arnold Schoenberg] *
0.8571 [Anton Webern]
)
= 0.8662
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 47.97%Second Viennese School 33.66%Anton Webern 5.89%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)