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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 240 [Second Viennese School] *
25 [Lars Erik Larsson] *
36 [Alban Berg] *
4 [Alban Berg monument, Vienna] *
1 [Alban Berg Was ist atonal] *
4 [Luigi Nono] *
36 [Igor Stravinsky] *
4 [György Ligeti] *
1 [Karl Amadeus Hartmann] *
1 [adorno] *
1 [Bach of Beethoven] *
1 [Tonalnaja problema] *
1 [Tonalnaja problema 1] *
1 [Beethoven's paradoxes] *
1 [Beethoven's sonatas] *
1 [Beethoven's symphonies] *
1 [Tonal Sources of Schoenberg's Dodecaphony] *
342 [Arnold Schoenberg] *
42 [Anton Webern]
)
= 579.02T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.07 [Second Viennese School] *
1 [Lars Erik Larsson] *
1 [Alban Berg] *
1 [Alban Berg monument, Vienna] *
1 [Alban Berg Was ist atonal] *
1 [Luigi Nono] *
1 [Igor Stravinsky] *
1 [György Ligeti] *
1 [Karl Amadeus Hartmann] *
1 [adorno] *
1 [Bach of Beethoven] *
1 [Tonalnaja problema] *
1 [Tonalnaja problema 1] *
1 [Beethoven's paradoxes] *
1 [Beethoven's sonatas] *
1 [Beethoven's symphonies] *
1 [Tonal Sources of Schoenberg's Dodecaphony] *
0.9474 [Arnold Schoenberg] *
0.8571 [Anton Webern]
)
= 0.8662
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
19
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Arnold Schoenberg 41.50%Second Viennese School 29.13%Anton Webern 5.10%Alban Berg 4.37%Igor Stravinsky 4.37%Lars Erik Larsson 3.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)