Analyzing Network Connections...
Network Profile
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, 40) = 40
$outbound = max(1, 40) = 40
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 40 * 40 = 1600
Base_Influence (IV) = $inbound / $outbound = 40 / 40 = 1
// 3. Exponential Network Values (accumulating 78 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1600 *
( 88 [Scala] *
20 [Alma Mahler] *
42 [Gustav Mahler] *
121 [Alfredo Casella] *
576 [Metropolitan Opera] *
1 [Compositions by Gustav Mahler] *
1 [Portraits of Gustav Mahler] *
16 [Leonard Bernstein] *
16 [Mario Lanza] *
4 [Glenn Gould] *
25 [The New York Philharmonic Orchestra] *
1 [Pierre Boulez] *
4 [Karl Anton Eckert] *
16 [Max Bendix] *
16 [Theodore Thomas] *
529 [Chicago Symphony Orchestra] *
9 [Leonardo Balada] *
441 [Pittsburgh Symphony Orchestra] *
1 [Barcelona Symphony Orchestra] *
4 [Zubin Mehta] *
9 [Lorin Maazel] *
9 [Eddie the Eagle] *
4 [Kingsman: The Golden Circle] *
4 [Dimitri Mitropoulos] *
1 [Leopold Damrosch] *
36 [John Barbirolli] *
1 [Plaques to John Barbirolli in the United Kingdom] *
1 [International String Quartet] *
1 [John Barbirolli And His Symphony Orchestra] *
1 [John Barbirolli's Chamber Orchestra] *
1 [The London Chamber Orchestra] *
9 [Arturo Toscanini] *
324 [Los Angeles Philharmonic] *
400 [San Francisco Symphony] *
36 [Adolph Weiss] *
81 [Los Angeles Philharmonic Orchestra] *
361 [Rochester Philharmonic Orchestra] *
16 [The San Francisco Symphony Orchestra] *
64 [Alfred Wallenstein] *
4 [The Chicago Symphony Orchestra] *
529 [Toronto Symphony Orchestra] *
4 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
9 [Alan Stepansky] *
1 [New York Chamber Consort] *
1 [Alana Vegter] *
1 [Albert Goltzer] *
1 [Alexei Gonzales] *
1 [Alfio Micci] *
400 [Royal Scottish National Orchestra] *
9 [Alfred Brain] *
400 [Orchestra U.S.A.] *
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 [Stephanie Goldner] *
529 [Seattle Symphony Orchestra] *
4 [Henry Kimball Hadley] *
1 [Mary Seney Sheldon] *
1 [Willem Mengelberg] *
1 [Michel Piastro] *
1 [Artur Rodziński] *
4 [Anton Seidl] *
1 [Theodore Eisfeld] *
36 [Jaap van Zweden] *
4 [Concertgebouworkest] *
4 [Radio Filharmonisch Orkest] *
9 [Dallas Symphony Orchestra] *
1 [Residentie Orkest] *
1 [Royal Flemish Philharmonic] *
552 [Israel Philharmonic Orchestra]
)
= 1.13 x 10^69
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.38 [Scala] *
1.25 [Alma Mahler] *
1.17 [Gustav Mahler] *
1 [Alfredo Casella] *
1 [Metropolitan Opera] *
1 [Compositions by Gustav Mahler] *
1 [Portraits of Gustav Mahler] *
1 [Leonard Bernstein] *
1 [Mario Lanza] *
1 [Glenn Gould] *
1 [The New York Philharmonic Orchestra] *
1 [Pierre Boulez] *
1 [Karl Anton Eckert] *
1 [Max Bendix] *
1 [Theodore Thomas] *
1 [Chicago Symphony Orchestra] *
1 [Leonardo Balada] *
1 [Pittsburgh Symphony Orchestra] *
1 [Barcelona Symphony Orchestra] *
1 [Zubin Mehta] *
1 [Lorin Maazel] *
1 [Eddie the Eagle] *
1 [Kingsman: The Golden Circle] *
1 [Dimitri Mitropoulos] *
1 [Leopold Damrosch] *
1 [John Barbirolli] *
1 [Plaques to John Barbirolli in the United Kingdom] *
1 [International String Quartet] *
1 [John Barbirolli And His Symphony Orchestra] *
1 [John Barbirolli's Chamber Orchestra] *
1 [The London Chamber Orchestra] *
1 [Arturo Toscanini] *
1 [Los Angeles Philharmonic] *
1 [San Francisco Symphony] *
1 [Adolph Weiss] *
1 [Los Angeles Philharmonic Orchestra] *
1 [Rochester Philharmonic Orchestra] *
1 [The San Francisco Symphony Orchestra] *
1 [Alfred Wallenstein] *
1 [The Chicago Symphony Orchestra] *
1 [Toronto Symphony Orchestra] *
1 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
1 [Alan Stepansky] *
1 [New York Chamber Consort] *
1 [Alana Vegter] *
1 [Albert Goltzer] *
1 [Alexei Gonzales] *
1 [Alfio Micci] *
1 [Royal Scottish National Orchestra] *
1 [Alfred Brain] *
1 [Orchestra U.S.A.] *
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 [Stephanie Goldner] *
1 [Seattle Symphony Orchestra] *
1 [Henry Kimball Hadley] *
1 [Mary Seney Sheldon] *
1 [Willem Mengelberg] *
1 [Michel Piastro] *
1 [Artur Rodziński] *
1 [Anton Seidl] *
1 [Theodore Eisfeld] *
1 [Jaap van Zweden] *
1 [Concertgebouworkest] *
1 [Radio Filharmonisch Orkest] *
1 [Dallas Symphony Orchestra] *
1 [Residentie Orkest] *
1 [Royal Flemish Philharmonic] *
0.9583 [Israel Philharmonic Orchestra]
)
= 1.92
Outbound
40
Tags on post
Inbound
40
Posts tagging this
Connections
78
Total nodes
Base Node Strength
1600
Base Node Influence
1
Strength Share (vs Direct Neighbours)
21.58%
(1.13 × 1069 overall)
Dominant nodes (excluded from chart)Metropolitan Opera 7.77%Israel Philharmonic Orchestra 7.45%Chicago Symphony Orchestra 7.14%Toronto Symphony Orchestra 7.14%Seattle Symphony Orchestra 7.14%Pittsburgh Symphony Orchestra 5.95%San Francisco Symphony 5.40%Royal Scottish National Orchestra 5.40%Orchestra U.S.A. 5.40%Rochester Philharmonic Orchestra 4.87%Los Angeles Philharmonic 4.37%Alfredo Casella 1.63%Scala 1.19%Los Angeles Philharmonic Orchestra 1.09%Alfred Wallenstein 0.86%Gustav Mahler 0.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
Last calculated: Oct 3, 3:49 PM
New York, New York, United States
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