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, 11) = 11
$outbound = max(1, 8) = 8
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 11 * 8 = 88
Base_Influence (IV) = $inbound / $outbound = 11 / 8 = 1.375
// 3. Exponential Network Values (accumulating 23 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 88 *
( 49 [Seefeel] *
64 [Mark Van Hoen] *
1 [Autocreation] *
4 [Black Hearted Brother] *
1 [Drà ̧ne] *
1 [IHVH] *
1 [Sine Bubble] *
1 [Sing-Sing] *
576 [Metropolitan Opera] *
9 [Arturo Toscanini] *
1.6K [New York Philharmonic] *
16 [Yoann Bourgeois] *
1 [La Scala Theatre Orchestra] *
1 [Piccola Scala] *
1 [Sergio Mattarella at Teatro alla Scala] *
1 [Teatro alla Scala costumes] *
16 [Konstantin Lerner] *
1 [Apple Airpods: Bounce] *
1 [Elderbrook & Bob Moses: Inner Light] *
1 [Les grands fantômes] *
1 [akka] *
1 [reactive programming] *
1 [typelevel]
)
= 2.34 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.375 *
( 1 [Seefeel] *
1 [Mark Van Hoen] *
1 [Autocreation] *
1 [Black Hearted Brother] *
1 [Drà ̧ne] *
1 [IHVH] *
1 [Sine Bubble] *
1 [Sing-Sing] *
1 [Metropolitan Opera] *
1 [Arturo Toscanini] *
1 [New York Philharmonic] *
1 [Yoann Bourgeois] *
1 [La Scala Theatre Orchestra] *
1 [Piccola Scala] *
1 [Sergio Mattarella at Teatro alla Scala] *
1 [Teatro alla Scala costumes] *
1 [Konstantin Lerner] *
1 [Apple Airpods: Bounce] *
1 [Elderbrook & Bob Moses: Inner Light] *
1 [Les grands fantômes] *
1 [akka] *
1 [reactive programming] *
1 [typelevel]
)
= 1.38
Outbound
11
Tags on post
Inbound
8
Posts tagging this
Connections
23
Total nodes
Base Node Strength
88
Base Node Influence
1.375
Strength Share (vs Direct Neighbours)
3.61%
(2.34 × 1015 overall)
Dominant nodes (excluded from chart)New York Philharmonic 65.65%Metropolitan Opera 23.64%Mark Van Hoen 2.63%Seefeel 2.01%Yoann Bourgeois 0.66%Konstantin Lerner 0.66%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
La Scala Ballet
BROKEN LINKOperas at Teatro alla Scala
BROKEN LINKTeatro alla Scala scenic design
BROKEN LINK