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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 9 [Alina Ibragimova] *
9 [Arcangelo] *
1 [Chiaroscuro Quartet] *
4 [Alexei Ogrintchouk] *
1 [Katarina Andreasson] *
1 [Markus Leoson] *
1 [Michael Collins (3)] *
1 [Reinut Tepp] *
1 [Robin O'Neill] *
1 [Sharon Bezaly] *
1 [Urban Svensson (2)] *
361 [Royal Concertgebouw Orchestra]
)
= 9.47M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Alina Ibragimova] *
1 [Arcangelo] *
1 [Chiaroscuro Quartet] *
1 [Alexei Ogrintchouk] *
1 [Katarina Andreasson] *
1 [Markus Leoson] *
1 [Michael Collins (3)] *
1 [Reinut Tepp] *
1 [Robin O'Neill] *
1 [Sharon Bezaly] *
1 [Urban Svensson (2)] *
1 [Royal Concertgebouw Orchestra]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
12
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Royal Concertgebouw Orchestra 76.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)