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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Herbert Grönemeyer] *
100 [Ocean Orchestra] *
1 [Axel Adams] *
49 [Bernt Laukamp] *
1 [Dieter Flimm] *
64 [Helmut Kandlberger] *
1 [Johannes Wawersik] *
121 [Markus Stockhausen] *
1 [Uwe Haselhorst] *
1 [Herbert Grönemeyer] *
1 [Junonia Mayor]
)
= 7.44B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Herbert Grönemeyer] *
1 [Ocean Orchestra] *
1 [Axel Adams] *
1 [Bernt Laukamp] *
1 [Dieter Flimm] *
1 [Helmut Kandlberger] *
1 [Johannes Wawersik] *
1 [Markus Stockhausen] *
1 [Uwe Haselhorst] *
1 [Herbert Grönemeyer] *
1 [Junonia Mayor]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Markus Stockhausen 30.79%Ocean Orchestra 25.45%Helmut Kandlberger 16.28%Herbert Grönemeyer 12.47%Bernt Laukamp 12.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)