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, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 2 = 6
Base_Influence (IV) = $inbound / $outbound = 3 / 2 = 1.5
// 3. Exponential Network Values (accumulating 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 6 *
( 21 [Juilliard School of Music] *
42 [Juilliard] *
9 [Karl Scully] *
1 [Alumni of the Manhattan School of Music] *
1 [Bloomingdale Insane Asylum] *
1 [Faculty of the Manhattan School of Music] *
1 [Rolando Valdes-Blain] *
1 [Simon O'Neill] *
1 [the Institute of Musical Art] *
4 [CBS Studio Building] *
42 [Manhattan School of Music] *
2 [Alice Tully Hall] *
2 [Tianjin Juilliard School]
)
= 32.01M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1.5 *
( 2.33 [Juilliard School of Music] *
1.17 [Juilliard] *
1 [Karl Scully] *
1 [Alumni of the Manhattan School of Music] *
1 [Bloomingdale Insane Asylum] *
1 [Faculty of the Manhattan School of Music] *
1 [Rolando Valdes-Blain] *
1 [Simon O'Neill] *
1 [the Institute of Musical Art] *
1 [CBS Studio Building] *
0.8571 [Manhattan School of Music] *
0.5 [Alice Tully Hall] *
0.5 [Tianjin Juilliard School]
)
= 0.875
Outbound
3
Tags on post
Inbound
2
Posts tagging this
Connections
13
Total nodes
Base Node Strength
6
Base Node Influence
1.5
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Manhattan School of Music 31.34%Juilliard 31.34%Juilliard School of Music 15.67%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
