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Connected Bands/Artists

  • New York Philharmonic
    New York Philharmonic band photo

Connected Musicians

  • Adolph Weiss
  • Alain Lombard
  • Alan Stepansky
  • Alana Vegter
  • Albert Goltzer
  • Alexei Gonzales
  • Alfio Micci
  • Alfred Brain
  • Alfred Breuning
  • Alfred Eugene Megerlin
  • Alfred Wallenstein
  • Alison Fierst
  • Allen Ostrander
  • Amy Zoloto
  • Andi Zhang
  • Anna Rabinova
  • Anthony McGill
  • Anthony Sophos
  • Anton Seidl
  • Arlen Fast
  • Artur Rodziński
  • Arturo Toscanini
  • Dimitri Mitropoulos
    Dimitri Mitropoulos band photo
  • Jaap van Zweden
  • John Barbirolli
    John Barbirolli band photo
  • Leonardo Balada
  • Leopold Damrosch
    Leopold Damrosch band photo
  • Lorin Maazel
  • Mary Seney Sheldon
  • Michel Piastro
  • Stephanie Goldner
  • Theodore Eisfeld
  • Theodore Thomas
  • Willem Mengelberg
  • Zubin Mehta
    Zubin Mehta band photo

Analyzing Network Connections...

Network Profile

Overall Strength
i
0.05% of network
(4.04 × 1021)
Strength Breakdown
  • This Post (0.05%)
  • Leonardo Balada (0.47%)
  • Arturo Toscanini (0.47%)
  • Alan Stepansky (0.47%)
  • Alfred Brain (0.47%)
  • Dimitri Mitropoulos (0.21%)
  • Zubin Mehta (0.21%)
  • Amy Zoloto (0.21%)
  • Alfred Breuning (0.21%)
  • Anton Seidl (0.21%)
  • Pierre Boulez (0.05%)
  • Alain Lombard (0.05%)
  • Alana Vegter (0.05%)
  • Albert Goltzer (0.05%)
  • Alexei Gonzales (0.05%)
  • Alfio Micci (0.05%)
  • Alison Fierst (0.05%)
  • Allen Ostrander (0.05%)
  • Andi Zhang (0.05%)
  • Anna Rabinova (0.05%)
  • Anthony McGill (0.05%)
  • Anthony Sophos (0.05%)
  • Arlen Fast (0.05%)
  • Alfred Eugene Megerlin (0.05%)
  • Artur Rodziński (0.05%)
  • Leopold Damrosch (0.05%)
  • Mary Seney Sheldon (0.05%)
  • Michel Piastro (0.05%)
  • Stephanie Goldner (0.05%)
  • Theodore Eisfeld (0.05%)
  • Willem Mengelberg (0.05%)
Dominant nodes (excluded from chart)
New York Philharmonic 82.28%Alfred Wallenstein 3.38%Gustav Mahler 2.22%John Barbirolli 1.90%Adolph Weiss 1.90%Jaap van Zweden 1.90%Leonard Bernstein 0.84%Theodore Thomas 0.84%Lorin Maazel 0.63%
Influence Score
i
2.47% of network
(1.6)
Influence Breakdown
  • This Post (2.47%)
  • Lorin Maazel (3.29%)
  • Gustav Mahler (2.88%)
  • New York Philharmonic (2.53%)
  • Pierre Boulez (2.47%)
  • Leonard Bernstein (2.47%)
  • Theodore Thomas (2.47%)
  • Leonardo Balada (2.47%)
  • Arturo Toscanini (2.47%)
  • Dimitri Mitropoulos (2.47%)
  • John Barbirolli (2.47%)
  • Adolph Weiss (2.47%)
  • Alfred Wallenstein (2.47%)
  • Zubin Mehta (2.47%)
  • Amy Zoloto (2.47%)
  • Alain Lombard (2.47%)
  • Alan Stepansky (2.47%)
  • Alana Vegter (2.47%)
  • Albert Goltzer (2.47%)
  • Alexei Gonzales (2.47%)
  • Alfio Micci (2.47%)
  • Alfred Brain (2.47%)
  • Alfred Breuning (2.47%)
  • Alison Fierst (2.47%)
  • Allen Ostrander (2.47%)
  • Andi Zhang (2.47%)
  • Anna Rabinova (2.47%)
  • Anthony McGill (2.47%)
  • Anthony Sophos (2.47%)
  • Arlen Fast (2.47%)
  • Alfred Eugene Megerlin (2.47%)
  • Anton Seidl (2.47%)
  • Artur Rodziński (2.47%)
  • Jaap van Zweden (2.47%)
  • Leopold Damrosch (2.47%)
  • Mary Seney Sheldon (2.47%)
  • Michel Piastro (2.47%)
  • Stephanie Goldner (2.47%)
  • Theodore Eisfeld (2.47%)
  • Willem Mengelberg (2.47%)
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 39 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
                         = 1 *
                           ( 12 [Lorin Maazel] *
                            42 [Gustav Mahler] *
                            1.6K [New York Philharmonic] *
                            1 [Pierre Boulez] *
                            16 [Leonard Bernstein] *
                            16 [Theodore Thomas] *
                            9 [Leonardo Balada] *
                            9 [Arturo Toscanini] *
                            4 [Dimitri Mitropoulos] *
                            36 [John Barbirolli] *
                            36 [Adolph Weiss] *
                            64 [Alfred Wallenstein] *
                            4 [Zubin Mehta] *
                            4 [Amy Zoloto] *
                            1 [Alain Lombard] *
                            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] *
                            4 [Anton Seidl] *
                            1 [Artur Rodziński] *
                            36 [Jaap van Zweden] *
                            1 [Leopold Damrosch] *
                            1 [Mary Seney Sheldon] *
                            1 [Michel Piastro] *
                            1 [Stephanie Goldner] *
                            1 [Theodore Eisfeld] *
                            1 [Willem Mengelberg]
                           )
                         = 4.04 x 10^21

Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
                         = 1 *
                           ( 1.33 [Lorin Maazel] *
                            1.17 [Gustav Mahler] *
                            1.03 [New York Philharmonic] *
                            1 [Pierre Boulez] *
                            1 [Leonard Bernstein] *
                            1 [Theodore Thomas] *
                            1 [Leonardo Balada] *
                            1 [Arturo Toscanini] *
                            1 [Dimitri Mitropoulos] *
                            1 [John Barbirolli] *
                            1 [Adolph Weiss] *
                            1 [Alfred Wallenstein] *
                            1 [Zubin Mehta] *
                            1 [Amy Zoloto] *
                            1 [Alain Lombard] *
                            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 [Anton Seidl] *
                            1 [Artur Rodziński] *
                            1 [Jaap van Zweden] *
                            1 [Leopold Damrosch] *
                            1 [Mary Seney Sheldon] *
                            1 [Michel Piastro] *
                            1 [Stephanie Goldner] *
                            1 [Theodore Eisfeld] *
                            1 [Willem Mengelberg]
                           )
                         = 1.6
Outbound 1 Tags on post
Inbound 1 Posts tagging this
Connections 39 Total nodes
Base Node Strength 1
Base Node Influence 1
Strength Share (vs Direct Neighbours)
0.05% (4.04 × 1021 overall)
  • This Post (0.05%)
  • Leonardo Balada (0.47%)
  • Arturo Toscanini (0.47%)
  • Alan Stepansky (0.47%)
  • Alfred Brain (0.47%)
  • Dimitri Mitropoulos (0.21%)
  • Zubin Mehta (0.21%)
  • Amy Zoloto (0.21%)
  • Alfred Breuning (0.21%)
  • Anton Seidl (0.21%)
  • Pierre Boulez (0.05%)
  • Alain Lombard (0.05%)
  • Alana Vegter (0.05%)
  • Albert Goltzer (0.05%)
  • Alexei Gonzales (0.05%)
  • Alfio Micci (0.05%)
  • Alison Fierst (0.05%)
  • Allen Ostrander (0.05%)
  • Andi Zhang (0.05%)
  • Anna Rabinova (0.05%)
  • Anthony McGill (0.05%)
  • Anthony Sophos (0.05%)
  • Arlen Fast (0.05%)
  • Alfred Eugene Megerlin (0.05%)
  • Artur Rodziński (0.05%)
  • Leopold Damrosch (0.05%)
  • Mary Seney Sheldon (0.05%)
  • Michel Piastro (0.05%)
  • Stephanie Goldner (0.05%)
  • Theodore Eisfeld (0.05%)
  • Willem Mengelberg (0.05%)
Dominant nodes (excluded from chart)
New York Philharmonic 82.28%Alfred Wallenstein 3.38%Gustav Mahler 2.22%John Barbirolli 1.90%Adolph Weiss 1.90%Jaap van Zweden 1.90%Leonard Bernstein 0.84%Theodore Thomas 0.84%Lorin Maazel 0.63%
Influence Share (vs Direct Neighbours)
2.47% (1.6 overall)
  • This Post (2.47%)
  • Lorin Maazel (3.29%)
  • Gustav Mahler (2.88%)
  • New York Philharmonic (2.53%)
  • Pierre Boulez (2.47%)
  • Leonard Bernstein (2.47%)
  • Theodore Thomas (2.47%)
  • Leonardo Balada (2.47%)
  • Arturo Toscanini (2.47%)
  • Dimitri Mitropoulos (2.47%)
  • John Barbirolli (2.47%)
  • Adolph Weiss (2.47%)
  • Alfred Wallenstein (2.47%)
  • Zubin Mehta (2.47%)
  • Amy Zoloto (2.47%)
  • Alain Lombard (2.47%)
  • Alan Stepansky (2.47%)
  • Alana Vegter (2.47%)
  • Albert Goltzer (2.47%)
  • Alexei Gonzales (2.47%)
  • Alfio Micci (2.47%)
  • Alfred Brain (2.47%)
  • Alfred Breuning (2.47%)
  • Alison Fierst (2.47%)
  • Allen Ostrander (2.47%)
  • Andi Zhang (2.47%)
  • Anna Rabinova (2.47%)
  • Anthony McGill (2.47%)
  • Anthony Sophos (2.47%)
  • Arlen Fast (2.47%)
  • Alfred Eugene Megerlin (2.47%)
  • Anton Seidl (2.47%)
  • Artur Rodziński (2.47%)
  • Jaap van Zweden (2.47%)
  • Leopold Damrosch (2.47%)
  • Mary Seney Sheldon (2.47%)
  • Michel Piastro (2.47%)
  • Stephanie Goldner (2.47%)
  • Theodore Eisfeld (2.47%)
  • Willem Mengelberg (2.47%)

Connected Network Hierarchy

Sort list by:
Top Network Boosters (Highest Multipliers)
Lorin Maazel ↗
Str: 12Inf: 1.33
Gustav Mahler ↗
Str: 42Inf: 1.17
New York Philharmonic ↗
Str: 1.6KInf: 1.03
Pierre Boulez ↗
Str: 1Inf: 1
Leonard Bernstein ↗
Str: 16Inf: 1
Theodore Thomas ↗
Str: 16Inf: 1
Leonardo Balada ↗
Str: 9Inf: 1
Arturo Toscanini ↗
Str: 9Inf: 1
Dimitri Mitropoulos ↗
Str: 4Inf: 1
John Barbirolli ↗
Str: 36Inf: 1
Adolph Weiss ↗
Str: 36Inf: 1
Alfred Wallenstein ↗
Str: 64Inf: 1
Zubin Mehta ↗
Str: 4Inf: 1
Amy Zoloto ↗
Str: 4Inf: 1
Alain Lombard ↗
Str: 1Inf: 1
Alan Stepansky ↗
Str: 9Inf: 1
Alana Vegter ↗
Str: 1Inf: 1
Albert Goltzer ↗
Str: 1Inf: 1
Alexei Gonzales ↗
Str: 1Inf: 1
Alfio Micci ↗
Str: 1Inf: 1
Alfred Brain ↗
Str: 9Inf: 1
Alfred Breuning ↗
Str: 4Inf: 1
Alison Fierst ↗
Str: 1Inf: 1
Allen Ostrander ↗
Str: 1Inf: 1
Andi Zhang ↗
Str: 1Inf: 1
Anna Rabinova ↗
Str: 1Inf: 1
Anthony McGill ↗
Str: 1Inf: 1
Anthony Sophos ↗
Str: 1Inf: 1
Arlen Fast ↗
Str: 1Inf: 1
Alfred Eugene Megerlin ↗
Str: 1Inf: 1
Anton Seidl ↗
Str: 4Inf: 1
Artur Rodziński ↗
Str: 1Inf: 1
Jaap van Zweden ↗
Str: 36Inf: 1
Leopold Damrosch ↗
Str: 1Inf: 1
Mary Seney Sheldon ↗
Str: 1Inf: 1
Michel Piastro ↗
Str: 1Inf: 1
Stephanie Goldner ↗
Str: 1Inf: 1
Theodore Eisfeld ↗
Str: 1Inf: 1
Willem Mengelberg ↗
Str: 1Inf: 1
Weakest Connections (Lowest Multipliers)
Willem Mengelberg ↗
Str: 1Inf: 1
Theodore Eisfeld ↗
Str: 1Inf: 1
Stephanie Goldner ↗
Str: 1Inf: 1
Michel Piastro ↗
Str: 1Inf: 1
Mary Seney Sheldon ↗
Str: 1Inf: 1
Leopold Damrosch ↗
Str: 1Inf: 1
Jaap van Zweden ↗
Str: 36Inf: 1
Artur Rodziński ↗
Str: 1Inf: 1
Anton Seidl ↗
Str: 4Inf: 1
Alfred Eugene Megerlin ↗
Str: 1Inf: 1
Arlen Fast ↗
Str: 1Inf: 1
Anthony Sophos ↗
Str: 1Inf: 1
Anthony McGill ↗
Str: 1Inf: 1
Anna Rabinova ↗
Str: 1Inf: 1
Andi Zhang ↗
Str: 1Inf: 1
Allen Ostrander ↗
Str: 1Inf: 1
Alison Fierst ↗
Str: 1Inf: 1
Alfred Breuning ↗
Str: 4Inf: 1
Alfred Brain ↗
Str: 9Inf: 1
Alfio Micci ↗
Str: 1Inf: 1
Alexei Gonzales ↗
Str: 1Inf: 1
Albert Goltzer ↗
Str: 1Inf: 1
Alana Vegter ↗
Str: 1Inf: 1
Alan Stepansky ↗
Str: 9Inf: 1
Alain Lombard ↗
Str: 1Inf: 1
Amy Zoloto ↗
Str: 4Inf: 1
Zubin Mehta ↗
Str: 4Inf: 1
Alfred Wallenstein ↗
Str: 64Inf: 1
Adolph Weiss ↗
Str: 36Inf: 1
John Barbirolli ↗
Str: 36Inf: 1
Dimitri Mitropoulos ↗
Str: 4Inf: 1
Arturo Toscanini ↗
Str: 9Inf: 1
Leonardo Balada ↗
Str: 9Inf: 1
Theodore Thomas ↗
Str: 16Inf: 1
Leonard Bernstein ↗
Str: 16Inf: 1
Pierre Boulez ↗
Str: 1Inf: 1
New York Philharmonic ↗
Str: 1.6KInf: 1.03
Gustav Mahler ↗
Str: 42Inf: 1.17
Lorin Maazel ↗
Str: 12Inf: 1.33

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

Outbound Tags (1)
new york philharmonic
Inbound Posts (1)
New York Philharmonic
Last calculated: Jun 7, 3:28 PM
New York, United States33

Related Content

Composers

  • Pierre Boulez
  • Leonard Bernstein
  • Gustav Mahler