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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 272 [Thomanerchor] *
25 [Carl Philipp Emanuel Bach] *
49 [Christoph von Dohnányi] *
1 [Alexander Heinze] *
1 [Bernhard Klee] *
1 [Christian Kunert] *
1 [Constantin Sorger] *
1 [Dietrich Knothe] *
1 [Ekkehard Tietze] *
1 [Erhard Mauersberger] *
1 [Eric Thomas (3)] *
1 [Georg Jelden] *
1 [Gert Lutze] *
1 [Gotthold Schwarz] *
1 [Hanns Martin Schneidt] *
64 [Hans Otto]
)
= 21.32M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.06 [Thomanerchor] *
1 [Carl Philipp Emanuel Bach] *
1 [Christoph von Dohnányi] *
1 [Alexander Heinze] *
1 [Bernhard Klee] *
1 [Christian Kunert] *
1 [Constantin Sorger] *
1 [Dietrich Knothe] *
1 [Ekkehard Tietze] *
1 [Erhard Mauersberger] *
1 [Eric Thomas (3)] *
1 [Georg Jelden] *
1 [Gert Lutze] *
1 [Gotthold Schwarz] *
1 [Hanns Martin Schneidt] *
1 [Hans Otto]
)
= 1.06
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Thomanerchor 64.30%Hans Otto 15.13%Christoph von Dohnányi 11.58%Carl Philipp Emanuel Bach 5.91%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)