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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 25 [Defleshed] *
121 [Matte Modin] *
1 [Andreas Saharinen] *
25 [Oskar Karlsson] *
4 [Gustaf Jorde] *
225 [Tomas Lindberg] *
144 [Disfear] *
16 [Andreas Axelsson] *
4 [Jallo Lehto] *
121 [Ulf Cederlund] *
16 [Tomas Lindberg (2)] *
1 [Janne Axelsson] *
1 [Jeppe Axelsson] *
1 [Jeppe Lerjerud] *
1 [Marcus Andersson] *
1 [Robin Wiberg] *
1 [Björn Pettersson (2)]
)
= 4.86 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Defleshed] *
1 [Matte Modin] *
1 [Andreas Saharinen] *
1 [Oskar Karlsson] *
1 [Gustaf Jorde] *
1 [Tomas Lindberg] *
1 [Disfear] *
1 [Andreas Axelsson] *
1 [Jallo Lehto] *
1 [Ulf Cederlund] *
1 [Tomas Lindberg (2)] *
1 [Janne Axelsson] *
1 [Jeppe Axelsson] *
1 [Jeppe Lerjerud] *
1 [Marcus Andersson] *
1 [Robin Wiberg] *
1 [Björn Pettersson (2)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
17
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.56%
(4.86 × 1015 overall)
Dominant nodes (excluded from chart)Tomas Lindberg 31.60%Disfear 20.22%Matte Modin 16.99%Ulf Cederlund 16.99%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)