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, 4) = 4
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 1 = 4
Base_Influence (IV) = $inbound / $outbound = 4 / 1 = 4
// 3. Exponential Network Values (accumulating 3 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 1 [Hans-Jürgen Graf von Blumenthal] *
1 [ZIEL ERKANNT! 12. Reichs-Frontsoldatentag des Stahlhelm B.d.F. Breslau 30 31 Mai 1931] *
1 [Roter Matrose]
)
= 4
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 4 *
( 1 [Hans-Jürgen Graf von Blumenthal] *
1 [ZIEL ERKANNT! 12. Reichs-Frontsoldatentag des Stahlhelm B.d.F. Breslau 30 31 Mai 1931] *
1 [Roter Matrose]
)
= 4
Outbound
4
Tags on post
Inbound
1
Posts tagging this
Connections
3
Total nodes
Base Node Strength
4
Base Node Influence
4
Strength Share (vs Direct Neighbours)
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)
Bavarian Council Republic
BROKEN LINKDer Stahlhelm, Bund der Frontsoldaten
BROKEN LINKKieler Matrosenaufstand
BROKEN LINK