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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 169 [Konrad Junghänel] *
9 [Barbara Kernig] *
256 [Akademie für Alte Musik Berlin] *
25 [Alessandro Pique] *
4 [Annette Geiger] *
4 [Antje Geusen] *
1 [Agnes Stradner] *
1 [Andrea Theinert] *
1 [Andreas Oelker] *
1 [Andreas Pilger] *
1 [Andreas Voss (4)] *
1 [Anja Regine Graewel] *
1 [Annette Spehr] *
1 [Antje Schurrock] *
1 [Barbara Halfter] *
4 [Anne von Hoff]
)
= 623M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Konrad Junghänel] *
1 [Barbara Kernig] *
1 [Akademie für Alte Musik Berlin] *
1 [Alessandro Pique] *
1 [Annette Geiger] *
1 [Antje Geusen] *
1 [Agnes Stradner] *
1 [Andrea Theinert] *
1 [Andreas Oelker] *
1 [Andreas Pilger] *
1 [Andreas Voss (4)] *
1 [Anja Regine Graewel] *
1 [Annette Spehr] *
1 [Antje Schurrock] *
1 [Barbara Halfter] *
1 [Anne von Hoff]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
16
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Akademie für Alte Musik Berlin 53.22%Konrad Junghänel 35.14%Alessandro Pique 5.20%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)