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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 12 [Peter Rasym] *
100 [Datzu] *
1 [Anke Schenker] *
1 [Frank Schirmer] *
9 [Ines Paulke] *
9 [Rainer Oleak] *
4 [Stefan Schirrmacher] *
1 [Uli Werfel] *
1 [Peter Lorenz (8)] *
1 [Anett Kölpin] *
25 [Neumis Rock Circus] *
1 [Keks] *
1 [Lift (2)] *
1 [Tra-X] *
1 [Sandmann's Dummies] *
16 [Hans Joachim Neumann] *
4 [Hans-Joachim Schweda]
)
= 22.39B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Peter Rasym] *
1 [Datzu] *
1 [Anke Schenker] *
1 [Frank Schirmer] *
1 [Ines Paulke] *
1 [Rainer Oleak] *
1 [Stefan Schirrmacher] *
1 [Uli Werfel] *
1 [Peter Lorenz (8)] *
1 [Anett Kölpin] *
1 [Neumis Rock Circus] *
1 [Keks] *
1 [Lift (2)] *
1 [Tra-X] *
1 [Sandmann's Dummies] *
1 [Hans Joachim Neumann] *
1 [Hans-Joachim Schweda]
)
= 1.33
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
17
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Datzu 44.64%Neumis Rock Circus 11.16%Hans Joachim Neumann 7.14%Peter Rasym 5.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)