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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 81 [Herman Frank] *
36 [Mat Sinner] *
400 [Sinner] *
25 [Fritz Randow] *
9 [Tom Naumann] *
4 [Mathias Dieth] *
100 [Alex Beyrodt] *
25 [Alexander Beyrodt] *
16 [Matthias Lasch] *
4 [Andy Susemihl] *
1 [Bernie Van Der Graaf] *
1 [Calo Rapallo] *
4 [Edgar Patrik] *
1 [Franky Mittelbach] *
9 [Gerhard Schleifer] *
9 [Henny Wolter] *
9 [Klaus Sperling] *
1 [Mick Scheuerle] *
1 [Tommy Resch] *
1 [Armin MÃ1⁄4cke]
)
= 4.90 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Herman Frank] *
1 [Mat Sinner] *
1 [Sinner] *
1 [Fritz Randow] *
1 [Tom Naumann] *
1 [Mathias Dieth] *
1 [Alex Beyrodt] *
1 [Alexander Beyrodt] *
1 [Matthias Lasch] *
1 [Andy Susemihl] *
1 [Bernie Van Der Graaf] *
1 [Calo Rapallo] *
1 [Edgar Patrik] *
1 [Franky Mittelbach] *
1 [Gerhard Schleifer] *
1 [Henny Wolter] *
1 [Klaus Sperling] *
1 [Mick Scheuerle] *
1 [Tommy Resch] *
1 [Armin MÃ1⁄4cke]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.14%
(4.90 × 1017 overall)
Dominant nodes (excluded from chart)Sinner 54.20%Alex Beyrodt 13.55%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)