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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 49 [Firespawn] *
64 [Victor Brandt] *
121 [Matte Modin] *
25 [Lars Göran Petrov] *
1 [A. Impaler] *
1 [L.G. Petrov] *
4 [Alexander Friberg] *
289 [Necrophobic] *
1 [Anders Strokirk] *
9 [Alex Friberg] *
4 [Joakim Sterner] *
16 [Sebastian Ramstedt] *
1 [Allan Lundholm] *
25 [David Parland] *
1 [Joakim Stabel] *
1 [Martin Halfdan] *
1 [Stefan Harrvik] *
1 [Stefan Zander] *
1 [Joakim Bröms]
)
= 631.66T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Firespawn] *
1 [Victor Brandt] *
1 [Matte Modin] *
1 [Lars Göran Petrov] *
1 [A. Impaler] *
1 [L.G. Petrov] *
1 [Alexander Friberg] *
1 [Necrophobic] *
1 [Anders Strokirk] *
1 [Alex Friberg] *
1 [Joakim Sterner] *
1 [Sebastian Ramstedt] *
1 [Allan Lundholm] *
1 [David Parland] *
1 [Joakim Stabel] *
1 [Martin Halfdan] *
1 [Stefan Harrvik] *
1 [Stefan Zander] *
1 [Joakim Bröms]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Necrophobic 46.69%Matte Modin 19.55%Victor Brandt 10.34%Firespawn 7.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)