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 *
( 1 [Curse] *
256 [Den Saakaldte] *
256 [Hellhammer] *
49 [Anders Kobro] *
36 [Hugh Mingay] *
1 [Den 3 Bergraven] *
1 [Kvohst] *
1 [Sykelig] *
64 [Niklas Olsson] *
1 [S. Winter] *
4 [Vidar Fineidet] *
49 [Jarle Byberg] *
4 [Dan Theobald] *
49 [Tor Risdal Stavenes] *
81 [Niklas Kvarforth] *
25 [Hugh Stephen James Mingay] *
4 [Mikael Sykelig] *
9 [Potentiam] *
4 [Birgir Thorgeirsson] *
4 [Engilbert Hauksson]
)
= 2.98 x 10^21
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Curse] *
1 [Den Saakaldte] *
1 [Hellhammer] *
1 [Anders Kobro] *
1 [Hugh Mingay] *
1 [Den 3 Bergraven] *
1 [Kvohst] *
1 [Sykelig] *
1 [Niklas Olsson] *
1 [S. Winter] *
1 [Vidar Fineidet] *
1 [Jarle Byberg] *
1 [Dan Theobald] *
1 [Tor Risdal Stavenes] *
1 [Niklas Kvarforth] *
1 [Hugh Stephen James Mingay] *
1 [Mikael Sykelig] *
1 [Potentiam] *
1 [Birgir Thorgeirsson] *
1 [Engilbert Hauksson]
)
= 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)
0.99%
(2.98 × 1021 overall)
Dominant nodes (excluded from chart)Den Saakaldte 28.19%Hellhammer 28.19%Niklas Kvarforth 8.92%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)