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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 64 [Naglfar] *
4 [Andreas Nilsson] *
4 [Kristoffer Olivius] *
16 [Marcus E. Norman] *
1 [Mattias Grahn] *
4 [Mattias Holmgren] *
4 [Morgan Hansson] *
9 [Ulf Andersson (2)] *
100 [Thyrfing] *
9 [Dennis Ekdahl] *
1 [Joakim Kristensson] *
1 [Kimmy Sjölund] *
1 [Patrik Lindgren] *
1 [Peter Löf] *
1 [Fredrik Hernborg] *
1 [Henrik Svegsjö] *
1 [Kimmy Sjölund] *
1 [Peter Löf]
)
= 8.49B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Naglfar] *
1 [Andreas Nilsson] *
1 [Kristoffer Olivius] *
1 [Marcus E. Norman] *
1 [Mattias Grahn] *
1 [Mattias Holmgren] *
1 [Morgan Hansson] *
1 [Ulf Andersson (2)] *
1 [Thyrfing] *
1 [Dennis Ekdahl] *
1 [Joakim Kristensson] *
1 [Kimmy Sjölund] *
1 [Patrik Lindgren] *
1 [Peter Löf] *
1 [Fredrik Hernborg] *
1 [Henrik Svegsjö] *
1 [Kimmy Sjölund] *
1 [Peter Löf]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
18
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Thyrfing 44.05%Naglfar 28.19%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)