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 *
( 196 [Abhinanda] *
9 [Aug 24 1997 Abhinanda] *
4 [Sep 4 1998 Abhinanda] *
100 [Adam Nilsson] *
4 [Jonas Lyxzén] *
4 [Jakob Nyström] *
49 [Kristofer Steen] *
4 [Pär Hansson] *
121 [Nicklas Rudolfsson] *
1 [Mattias Abrahamsson] *
1 [Daniel Berglund] *
1 [Adam Nilsson (2)] *
1 [Niklas Rudolfsson] *
1 [José Saxlund] *
4 [George Tipton] *
4 [Harry Nilsson] *
9 [Nilsson House Productions]
)
= 154.22T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Abhinanda] *
1 [Aug 24 1997 Abhinanda] *
1 [Sep 4 1998 Abhinanda] *
1 [Adam Nilsson] *
1 [Jonas Lyxzén] *
1 [Jakob Nyström] *
1 [Kristofer Steen] *
1 [Pär Hansson] *
1 [Nicklas Rudolfsson] *
1 [Mattias Abrahamsson] *
1 [Daniel Berglund] *
1 [Adam Nilsson (2)] *
1 [Niklas Rudolfsson] *
1 [José Saxlund] *
1 [George Tipton] *
1 [Harry Nilsson] *
1 [Nilsson House Productions]
)
= 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)
Dominant nodes (excluded from chart)Abhinanda 37.91%Nicklas Rudolfsson 23.40%Adam Nilsson 19.34%Kristofer Steen 9.48%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
