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Count John McCormack
Mapleson CylindersErich Leinsdorf
Gustav Mahler
Arturo ToscaniniMetropolitan OperaRuth MillerFrançois ClemmonsEarle Raymond Lewis
Nico Muhly

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Related Images

Jon Vickers

Connected Bands/Artists

  • Metropolitan Opera

Connected Musicians

  • Anton Seidl
  • Arturo Toscanini
  • Count John McCormack
    Count John McCormack band photo
  • Daniele Barioni
  • Dimitri Mitropoulos
    Dimitri Mitropoulos band photo
  • Earle Raymond Lewis
  • Erich Leinsdorf
  • François Clemmons
  • Fritz Reiner
    Fritz Reiner band photo
  • Herbert Graf
  • Hugo Burghauser
  • Irving Kolodin
  • Mapleson Cylinders
  • Metropolitan Opera House
  • Nico Muhly
    Nico Muhly band photo
  • Peter Gelb
  • Rafael Kubelík
    Rafael Kubelík band photo
  • Rosina Galli
  • Ruth Miller
  • Yannick Nézet-Séguin.
  • Zachary Solov

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.14% of network
(642.11B)
Strength Breakdown
  • This Post (0.14%)
  • Arturo Toscanini (1.23%)
  • Dimitri Mitropoulos (0.55%)
  • Anton Seidl (0.55%)
  • Ruth Miller (0.55%)
  • Rafael Kubelík (0.55%)
  • Nico Muhly (0.14%)
  • Yannick Nézet-Séguin. (0.14%)
  • Hugo Burghauser (0.14%)
  • Daniele Barioni (0.14%)
  • Earle Raymond Lewis (0.14%)
  • Erich Leinsdorf (0.14%)
  • François Clemmons (0.14%)
  • Herbert Graf (0.14%)
  • Irving Kolodin (0.14%)
  • Mapleson Cylinders (0.14%)
  • Metropolitan Opera House (0.14%)
  • Peter Gelb (0.14%)
  • Rosina Galli (0.14%)
  • Zachary Solov (0.14%)
Dominant nodes (excluded from chart)
Metropolitan Opera 78.90%Gustav Mahler 5.75%Fritz Reiner 4.93%Count John McCormack 2.74%Max Bendix 2.19%
Influence Score
i
3.93% of network
(1.46)
Influence Breakdown
  • This Post (3.93%)
  • Count John McCormack (4.92%)
  • Gustav Mahler (4.59%)
  • Metropolitan Opera (3.93%)
  • Max Bendix (3.93%)
  • Nico Muhly (3.93%)
  • Arturo Toscanini (3.93%)
  • Dimitri Mitropoulos (3.93%)
  • Fritz Reiner (3.93%)
  • Yannick Nézet-Séguin. (3.93%)
  • Anton Seidl (3.93%)
  • Hugo Burghauser (3.93%)
  • Ruth Miller (3.93%)
  • Daniele Barioni (3.93%)
  • Earle Raymond Lewis (3.93%)
  • Erich Leinsdorf (3.93%)
  • François Clemmons (3.93%)
  • Herbert Graf (3.93%)
  • Irving Kolodin (3.93%)
  • Mapleson Cylinders (3.93%)
  • Metropolitan Opera House (3.93%)
  • Peter Gelb (3.93%)
  • Rafael Kubelík (3.93%)
  • Rosina Galli (3.93%)
  • Zachary Solov (3.93%)
Direct Connections 2

Node & Network Details

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 24 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 20 [Count John McCormack] *
                            42 [Gustav Mahler] *
                            576 [Metropolitan Opera] *
                            16 [Max Bendix] *
                            1 [Nico Muhly] *
                            9 [Arturo Toscanini] *
                            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 [Mapleson Cylinders] *
                            1 [Metropolitan Opera House] *
                            1 [Peter Gelb] *
                            4 [Rafael Kubelík] *
                            1 [Rosina Galli] *
                            1 [Zachary Solov]
                           )

                         = 642.11B

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.25 [Count John McCormack] *
                            1.17 [Gustav Mahler] *
                            1 [Metropolitan Opera] *
                            1 [Max Bendix] *
                            1 [Nico Muhly] *
                            1 [Arturo Toscanini] *
                            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 [Mapleson Cylinders] *
                            1 [Metropolitan Opera House] *
                            1 [Peter Gelb] *
                            1 [Rafael Kubelík] *
                            1 [Rosina Galli] *
                            1 [Zachary Solov]
                           )

                         = 1.46
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 24 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.14% (642.11B overall)
  • This Post (0.14%)
  • Arturo Toscanini (1.23%)
  • Dimitri Mitropoulos (0.55%)
  • Anton Seidl (0.55%)
  • Ruth Miller (0.55%)
  • Rafael Kubelík (0.55%)
  • Nico Muhly (0.14%)
  • Yannick Nézet-Séguin. (0.14%)
  • Hugo Burghauser (0.14%)
  • Daniele Barioni (0.14%)
  • Earle Raymond Lewis (0.14%)
  • Erich Leinsdorf (0.14%)
  • François Clemmons (0.14%)
  • Herbert Graf (0.14%)
  • Irving Kolodin (0.14%)
  • Mapleson Cylinders (0.14%)
  • Metropolitan Opera House (0.14%)
  • Peter Gelb (0.14%)
  • Rosina Galli (0.14%)
  • Zachary Solov (0.14%)
Dominant nodes (excluded from chart)
Metropolitan Opera 78.90%Gustav Mahler 5.75%Fritz Reiner 4.93%Count John McCormack 2.74%Max Bendix 2.19%
Influence Share (vs Direct Neighbours)
3.93% (1.46 overall)
  • This Post (3.93%)
  • Count John McCormack (4.92%)
  • Gustav Mahler (4.59%)
  • Metropolitan Opera (3.93%)
  • Max Bendix (3.93%)
  • Nico Muhly (3.93%)
  • Arturo Toscanini (3.93%)
  • Dimitri Mitropoulos (3.93%)
  • Fritz Reiner (3.93%)
  • Yannick Nézet-Séguin. (3.93%)
  • Anton Seidl (3.93%)
  • Hugo Burghauser (3.93%)
  • Ruth Miller (3.93%)
  • Daniele Barioni (3.93%)
  • Earle Raymond Lewis (3.93%)
  • Erich Leinsdorf (3.93%)
  • François Clemmons (3.93%)
  • Herbert Graf (3.93%)
  • Irving Kolodin (3.93%)
  • Mapleson Cylinders (3.93%)
  • Metropolitan Opera House (3.93%)
  • Peter Gelb (3.93%)
  • Rafael Kubelík (3.93%)
  • Rosina Galli (3.93%)
  • Zachary Solov (3.93%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Count John McCormack ↗
Str: 20Inf: 1.25
Gustav Mahler ↗
Str: 42Inf: 1.17
Metropolitan Opera ↗
Str: 576Inf: 1
Max Bendix ↗
Str: 16Inf: 1
Nico Muhly ↗
Str: 1Inf: 1
Arturo Toscanini ↗
Str: 9Inf: 1
Dimitri Mitropoulos ↗
Str: 4Inf: 1
Fritz Reiner ↗
Str: 36Inf: 1
Yannick Nézet-Séguin. ↗
Str: 1Inf: 1
Anton Seidl ↗
Str: 4Inf: 1
Hugo Burghauser ↗
Str: 1Inf: 1
Ruth Miller ↗
Str: 4Inf: 1
Daniele Barioni ↗
Str: 1Inf: 1
Earle Raymond Lewis ↗
Str: 1Inf: 1
Erich Leinsdorf ↗
Str: 1Inf: 1
François Clemmons ↗
Str: 1Inf: 1
Herbert Graf ↗
Str: 1Inf: 1
Irving Kolodin ↗
Str: 1Inf: 1
Mapleson Cylinders ↗
Str: 1Inf: 1
Metropolitan Opera House ↗
Str: 1Inf: 1
Peter Gelb ↗
Str: 1Inf: 1
Rafael Kubelík ↗
Str: 4Inf: 1
Rosina Galli ↗
Str: 1Inf: 1
Zachary Solov ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Zachary Solov ↗
Str: 1Inf: 1
Rosina Galli ↗
Str: 1Inf: 1
Rafael Kubelík ↗
Str: 4Inf: 1
Peter Gelb ↗
Str: 1Inf: 1
Metropolitan Opera House ↗
Str: 1Inf: 1
Mapleson Cylinders ↗
Str: 1Inf: 1
Irving Kolodin ↗
Str: 1Inf: 1
Herbert Graf ↗
Str: 1Inf: 1
François Clemmons ↗
Str: 1Inf: 1
Erich Leinsdorf ↗
Str: 1Inf: 1
Earle Raymond Lewis ↗
Str: 1Inf: 1
Daniele Barioni ↗
Str: 1Inf: 1
Ruth Miller ↗
Str: 4Inf: 1
Hugo Burghauser ↗
Str: 1Inf: 1
Anton Seidl ↗
Str: 4Inf: 1
Yannick Nézet-Séguin. ↗
Str: 1Inf: 1
Fritz Reiner ↗
Str: 36Inf: 1
Dimitri Mitropoulos ↗
Str: 4Inf: 1
Arturo Toscanini ↗
Str: 9Inf: 1
Nico Muhly ↗
Str: 1Inf: 1
Max Bendix ↗
Str: 16Inf: 1
Metropolitan Opera ↗
Str: 576Inf: 1
Gustav Mahler ↗
Str: 42Inf: 1.17
Count John McCormack ↗
Str: 20Inf: 1.25

Connection Health Audit (Red = broken 1-way link)

Outbound Tags (1)
Metropolitan Opera
Inbound Posts (1)
Metropolitan Opera
Last calculated: Jun 23, 8:25 AM
34

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Composers

  • Gustav Mahler
  • Max Bendix