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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 16 [Thomas Lawinky] *
4 [Rainer Bock] *
4 [Julia Bache-Wiig] *
4 [Ken Duken] *
324 [Two Lives] *
1 [Ellen Brigitte Winthe] *
1 [Holger Handtke] *
1 [Klara Manzel] *
1 [Liv Ullmann] *
1 [Mathias Harrebye-Brandt] *
1 [Ralf Dittrich] *
1 [Sven Nordin] *
4 [Vicky Krieps] *
1 [Ursula Werner] *
1 [Dennis Storhøi] *
1 [Jürgen Rißmann] *
1 [Juliane Köhler] *
1 [Thorbjørn Harr] *
1 [Berliner Solisten] *
1 [etc (2)]
)
= 11.94M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Thomas Lawinky] *
1 [Rainer Bock] *
1 [Julia Bache-Wiig] *
1 [Ken Duken] *
1 [Two Lives] *
1 [Ellen Brigitte Winthe] *
1 [Holger Handtke] *
1 [Klara Manzel] *
1 [Liv Ullmann] *
1 [Mathias Harrebye-Brandt] *
1 [Ralf Dittrich] *
1 [Sven Nordin] *
1 [Vicky Krieps] *
1 [Ursula Werner] *
1 [Dennis Storhøi] *
1 [Jürgen Rißmann] *
1 [Juliane Köhler] *
1 [Thorbjørn Harr] *
1 [Berliner Solisten] *
1 [etc (2)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Two Lives 85.49%Thomas Lawinky 4.22%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)