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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 9 [Havayoth] *
100 [Andreas Hedlund] *
4 [Morgan Hansson] *
16 [Ancient Wisdom] *
4 [Andreas Nilsson] *
9 [Ulf Andersson (2)] *
1 [Fredrik Jakobsson] *
25 [Domgård] *
9 [Joakim Antman] *
1 [Henrik Persson] *
1 [Viktor Söderberg] *
4 [Oskar Pålsson] *
64 [Naglfar] *
4 [Kristoffer Olivius] *
1 [Mattias Grahn] *
4 [Mattias Holmgren] *
4 [Jens Rydén]
)
= 122.31T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Havayoth] *
1 [Andreas Hedlund] *
1 [Morgan Hansson] *
1 [Ancient Wisdom] *
1 [Andreas Nilsson] *
1 [Ulf Andersson (2)] *
1 [Fredrik Jakobsson] *
1 [Domgård] *
1 [Joakim Antman] *
1 [Henrik Persson] *
1 [Viktor Söderberg] *
1 [Oskar Pålsson] *
1 [Naglfar] *
1 [Kristoffer Olivius] *
1 [Mattias Grahn] *
1 [Mattias Holmgren] *
1 [Jens Rydén]
)
= 1
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
17
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Andreas Hedlund 36.23%Naglfar 23.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)