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 69 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 88 [Scala] *
20 [Count John McCormack] *
42 [Gustav Mahler] *
576 [Metropolitan Opera] *
16 [Max Bendix] *
1 [Nico Muhly] *
4 [Dimitri Mitropoulos] *
36 [Fritz Reiner] *
1 [Yannick Nézet-Séguin.] *
4 [Anton Seidl] *
1 [Hugo Burghauser] *
4 [Ruth Miller] *
1 [Daniele Barioni] *
1 [Earle Raymond Lewis] *
1 [Erich Leinsdorf] *
1 [François Clemmons] *
1 [Herbert Graf] *
1 [Irving Kolodin] *
1 [James Levine] *
1 [Mapleson Cylinders] *
1 [Metropolitan Opera House] *
1 [Peter Gelb] *
4 [Rafael Kubelík] *
1 [Rosina Galli] *
1 [Zachary Solov] *
1.6K [New York Philharmonic] *
64 [Mark Van Hoen] *
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 [Pierre Boulez] *
16 [Leonard Bernstein] *
16 [Theodore Thomas] *
9 [Leonardo Balada] *
36 [John Barbirolli] *
36 [Adolph Weiss] *
64 [Alfred Wallenstein] *
4 [Zubin Mehta] *
4 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
9 [Alan Stepansky] *
1 [Alana Vegter] *
1 [Albert Goltzer] *
1 [Alexei Gonzales] *
1 [Alfio Micci] *
9 [Alfred Brain] *
4 [Alfred Breuning] *
1 [Alison Fierst] *
1 [Allen Ostrander] *
1 [Andi Zhang] *
1 [Anna Rabinova] *
1 [Anthony McGill] *
1 [Anthony Sophos] *
1 [Arlen Fast] *
1 [Alfred Eugene Megerlin] *
1 [Artur Rodziński] *
4 [Henry Kimball Hadley] *
36 [Jaap van Zweden] *
1 [Leopold Damrosch] *
9 [Lorin Maazel] *
1 [Mary Seney Sheldon] *
1 [Michel Piastro] *
1 [Stephanie Goldner] *
1 [Theodore Eisfeld] *
1 [Willem Mengelberg]
)
= 1.90 x 10^36
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.38 [Scala] *
1.25 [Count John McCormack] *
1.17 [Gustav Mahler] *
1 [Metropolitan Opera] *
1 [Max Bendix] *
1 [Nico Muhly] *
1 [Dimitri Mitropoulos] *
1 [Fritz Reiner] *
1 [Yannick Nézet-Séguin.] *
1 [Anton Seidl] *
1 [Hugo Burghauser] *
1 [Ruth Miller] *
1 [Daniele Barioni] *
1 [Earle Raymond Lewis] *
1 [Erich Leinsdorf] *
1 [François Clemmons] *
1 [Herbert Graf] *
1 [Irving Kolodin] *
1 [James Levine] *
1 [Mapleson Cylinders] *
1 [Metropolitan Opera House] *
1 [Peter Gelb] *
1 [Rafael Kubelík] *
1 [Rosina Galli] *
1 [Zachary Solov] *
1 [New York Philharmonic] *
1 [Mark Van Hoen] *
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 [Pierre Boulez] *
1 [Leonard Bernstein] *
1 [Theodore Thomas] *
1 [Leonardo Balada] *
1 [John Barbirolli] *
1 [Adolph Weiss] *
1 [Alfred Wallenstein] *
1 [Zubin Mehta] *
1 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
1 [Alan Stepansky] *
1 [Alana Vegter] *
1 [Albert Goltzer] *
1 [Alexei Gonzales] *
1 [Alfio Micci] *
1 [Alfred Brain] *
1 [Alfred Breuning] *
1 [Alison Fierst] *
1 [Allen Ostrander] *
1 [Andi Zhang] *
1 [Anna Rabinova] *
1 [Anthony McGill] *
1 [Anthony Sophos] *
1 [Arlen Fast] *
1 [Alfred Eugene Megerlin] *
1 [Artur Rodziński] *
1 [Henry Kimball Hadley] *
1 [Jaap van Zweden] *
1 [Leopold Damrosch] *
1 [Lorin Maazel] *
1 [Mary Seney Sheldon] *
1 [Michel Piastro] *
1 [Stephanie Goldner] *
1 [Theodore Eisfeld] *
1 [Willem Mengelberg]
)
= 2.01
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
69
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.32%
(1.90 × 1036 overall)
Dominant nodes (excluded from chart)New York Philharmonic 57.22%Metropolitan Opera 20.60%Scala 3.15%Mark Van Hoen 2.29%Alfred Wallenstein 2.29%Gustav Mahler 1.50%Fritz Reiner 1.29%John Barbirolli 1.29%Adolph Weiss 1.29%Jaap van Zweden 1.29%Count John McCormack 0.72%Max Bendix 0.57%Yoann Bourgeois 0.57%Konstantin Lerner 0.57%Leonard Bernstein 0.57%Theodore Thomas 0.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)