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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 2 [The Iniquity Descent] *
400 [Iniquity] *
4 [Brian Eriksen] *
1 [Brian Petrowsky] *
1 [Carsten Viggo Nielsen] *
1 [Claus Zeeberg] *
1 [Jacob Olsen] *
4 [Jens Lee] *
1 [Jesper Frost Jensen] *
1 [Kræn Meier] *
4 [Martin Rosendahl] *
1 [Mads Haarløv] *
1 [Morten Hansen] *
1 [Peter Houd] *
1 [René Madsen] *
1 [Rene Falther] *
4 [Thomas Christensen] *
1 [Thomas Fagerlind] *
9 [Kræn Meier] *
4 [Mads Haarlà ̧v]
)
= 7.37M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [The Iniquity Descent] *
1 [Iniquity] *
1 [Brian Eriksen] *
1 [Brian Petrowsky] *
1 [Carsten Viggo Nielsen] *
1 [Claus Zeeberg] *
1 [Jacob Olsen] *
1 [Jens Lee] *
1 [Jesper Frost Jensen] *
1 [Kræn Meier] *
1 [Martin Rosendahl] *
1 [Mads Haarløv] *
1 [Morten Hansen] *
1 [Peter Houd] *
1 [René Madsen] *
1 [Rene Falther] *
1 [Thomas Christensen] *
1 [Thomas Fagerlind] *
1 [Kræn Meier] *
1 [Mads Haarlà ̧v]
)
= 2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Iniquity 90.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)