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 44 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 42 [Gustav Mahler] *
16 [Leonard Bernstein] *
121 [Leopold Stokowski] *
64 [Alfred Wallenstein] *
25 [The New York Philharmonic Orchestra] *
9 [Stanley Drucker] *
1.6K [New York Philharmonic] *
1 [New York Chamber Consort] *
1 [Pierre Boulez] *
16 [Theodore Thomas] *
9 [Leonardo Balada] *
9 [Arturo Toscanini] *
4 [Dimitri Mitropoulos] *
36 [John Barbirolli] *
36 [Adolph Weiss] *
4 [Zubin Mehta] *
4 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
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] *
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]
)
= 3.38 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.17 [Gustav Mahler] *
1 [Leonard Bernstein] *
1 [Leopold Stokowski] *
1 [Alfred Wallenstein] *
1 [The New York Philharmonic Orchestra] *
1 [Stanley Drucker] *
1 [New York Philharmonic] *
1 [New York Chamber Consort] *
1 [Pierre Boulez] *
1 [Theodore Thomas] *
1 [Leonardo Balada] *
1 [Arturo Toscanini] *
1 [Dimitri Mitropoulos] *
1 [John Barbirolli] *
1 [Adolph Weiss] *
1 [Zubin Mehta] *
1 [Amy Zoloto] *
1 [Alain Lombard] *
1 [Alan Baer] *
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 [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]
)
= 1.17
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
44
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.43%
(3.38 × 1026 overall)
Dominant nodes (excluded from chart)New York Philharmonic 76.45%Leopold Stokowski 5.78%Alfred Wallenstein 3.06%Gustav Mahler 2.01%John Barbirolli 1.72%Adolph Weiss 1.72%Jaap van Zweden 1.72%The New York Philharmonic Orchestra 1.19%Leonard Bernstein 0.76%Theodore Thomas 0.76%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)