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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 225 [P-Model] *
49 [Susumu Hirasawa] *
1 [E Project] *
1 [Fuko no Project] *
1 [Ikari] *
1 [Mandrake (16)] *
4 [Shun (4)] *
81 [Hans-Joachim Roedelius] *
9 [Harmonia 76] *
1 [A.R.S.(e)] *
4 [Highdelberg] *
4 [Mol Quartetto] *
4 [Qluster] *
1 [Roedelius Capanni Alesini] *
1 [Hans Joachim Roedelius & Tim Story] *
12 [Kluster (3)]
)
= 98.76B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [P-Model] *
1 [Susumu Hirasawa] *
1 [E Project] *
1 [Fuko no Project] *
1 [Ikari] *
1 [Mandrake (16)] *
1 [Shun (4)] *
1 [Hans-Joachim Roedelius] *
1 [Harmonia 76] *
1 [A.R.S.(e)] *
1 [Highdelberg] *
1 [Mol Quartetto] *
1 [Qluster] *
1 [Roedelius Capanni Alesini] *
1 [Hans Joachim Roedelius & Tim Story] *
0.75 [Kluster (3)]
)
= 0.75
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
16
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)P-Model 55.83%Hans-Joachim Roedelius 20.10%Susumu Hirasawa 12.16%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)