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 *
( 121 [Dimension Zero] *
9 [Henka Johansson] *
16 [Henry Ranta] *
100 [Jesper Strömblad] *
4 [Thomas Ohlsson] *
36 [Daniel Antonsson] *
4 [Hans Nilsson] *
9 [Glenn Ljungström] *
9 [Glenn Ljungström] *
9 [Andreas Solveström] *
1 [Joakim Göthberg] *
9 [Björn Gelotte] *
49 [All Ends] *
1 [Anders Janfalk] *
1 [Emma Gelotte] *
1 [Jonna Sailon] *
1 [Tinna Karlsdotter]
)
= 1.29 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Dimension Zero] *
1 [Henka Johansson] *
1 [Henry Ranta] *
1 [Jesper Strömblad] *
1 [Thomas Ohlsson] *
1 [Daniel Antonsson] *
1 [Hans Nilsson] *
1 [Glenn Ljungström] *
1 [Glenn Ljungström] *
1 [Andreas Solveström] *
1 [Joakim Göthberg] *
1 [Björn Gelotte] *
1 [All Ends] *
1 [Anders Janfalk] *
1 [Emma Gelotte] *
1 [Jonna Sailon] *
1 [Tinna Karlsdotter]
)
= 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)
1.04%
(1.29 × 1015 overall)
Dominant nodes (excluded from chart)Dimension Zero 31.51%Jesper Strömblad 26.04%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)