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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Lew Soloff] *
4 [Joan La Barbara] *
16 [Lisa Bielawa] *
529 [Anthony Braxton] *
361 [The Philip Glass Ensemble] *
4 [Jon Gibson (2)] *
1 [Michael Riesman] *
1 [Andrew Sterman] *
1 [Art Murphy] *
4 [Barbara Benary] *
1 [Bob Telson] *
1 [Dora Ohrenstein] *
1 [Gregory Purnhagen] *
1 [Iris Hiskey] *
1 [Jack Kripl] *
1 [Kurt Munkacsi] *
1 [Martin Goldray] *
1 [Mick Rossi (2)] *
1 [Peter Stewart]
)
= 56.51B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Lew Soloff] *
1 [Joan La Barbara] *
1 [Lisa Bielawa] *
1 [Anthony Braxton] *
1 [The Philip Glass Ensemble] *
1 [Jon Gibson (2)] *
1 [Michael Riesman] *
1 [Andrew Sterman] *
1 [Art Murphy] *
1 [Barbara Benary] *
1 [Bob Telson] *
1 [Dora Ohrenstein] *
1 [Gregory Purnhagen] *
1 [Iris Hiskey] *
1 [Jack Kripl] *
1 [Kurt Munkacsi] *
1 [Martin Goldray] *
1 [Mick Rossi (2)] *
1 [Peter Stewart]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Anthony Braxton 43.36%The Philip Glass Ensemble 29.59%Lew Soloff 23.69%Lisa Bielawa 1.31%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
