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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 289 [Feuerschwanz] *
4 [Bastian Brenner] *
1 [Andre Linke] *
4 [Ben Metzner] *
1 [Der Knappe] *
4 [Hans Platz] *
1 [Jarne Hodinsson] *
4 [Jenny Diehl] *
1 [Lady Fellatia] *
1 [Lady Orgasta] *
1 [Mieze Musch-Musch] *
1 [Peter Henrici] *
1 [Felix Fischer (4)] *
1 [Ronja Hodenherz] *
1 [Steffi Pracht] *
1 [Tobias Heindl] *
1 [Rollo H. Schönhaar]
)
= 74K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Feuerschwanz] *
1 [Bastian Brenner] *
1 [Andre Linke] *
1 [Ben Metzner] *
1 [Der Knappe] *
1 [Hans Platz] *
1 [Jarne Hodinsson] *
1 [Jenny Diehl] *
1 [Lady Fellatia] *
1 [Lady Orgasta] *
1 [Mieze Musch-Musch] *
1 [Peter Henrici] *
1 [Felix Fischer (4)] *
1 [Ronja Hodenherz] *
1 [Steffi Pracht] *
1 [Tobias Heindl] *
1 [Rollo H. Schönhaar]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Feuerschwanz 90.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)