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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 44 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 42 [Gustav Mahler] *
1.6K [New York Philharmonic] *
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 [Pierre Boulez] *
16 [Leonard Bernstein] *
16 [Theodore Thomas] *
9 [Leonardo Balada] *
9 [Arturo Toscanini] *
4 [Dimitri Mitropoulos] *
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] *
4 [Anton Seidl] *
1 [Artur Rodziński] *
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]
)
= 3.03 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Gustav Mahler] *
1.03 [New York Philharmonic] *
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 [Pierre Boulez] *
1 [Leonard Bernstein] *
1 [Theodore Thomas] *
1 [Leonardo Balada] *
1 [Arturo Toscanini] *
1 [Dimitri Mitropoulos] *
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 [Anton Seidl] *
1 [Artur Rodziński] *
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]
)
= 1.2
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
44
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
1.90%
(3.03 × 1021 overall)
Dominant nodes (excluded from chart)New York Philharmonic 82.19%Alfred Wallenstein 3.37%Gustav Mahler 2.21%Adolph Weiss 1.90%Jaap van Zweden 1.90%Leonard Bernstein 0.84%Theodore Thomas 0.84%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
