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 *
( 4 [Anup Sastry] *
64 [Intervals] *
1 [Aaron Marshall] *
1 [Conor Maynard] *
1 [Nathan Bulla] *
1 [Travis Orbin] *
1 [Aaron Marshall (2)] *
1 [Lukas Guyader] *
81 [Raunchy] *
1 [Jeppe Christensen] *
4 [Jesper Kvist] *
4 [Kasper Thomsen] *
1 [Lars Christensen] *
4 [Morten Toft Hansen] *
1 [Jesper Andreas Tilsted] *
1 [Lars Christensen (4)] *
4 [Lars Vognstrup] *
9 [The Haarp Machine] *
4 [Craig Reynolds] *
1 [Dan Thornton]
)
= 1.72B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Anup Sastry] *
1 [Intervals] *
1 [Aaron Marshall] *
1 [Conor Maynard] *
1 [Nathan Bulla] *
1 [Travis Orbin] *
1 [Aaron Marshall (2)] *
1 [Lukas Guyader] *
1 [Raunchy] *
1 [Jeppe Christensen] *
1 [Jesper Kvist] *
1 [Kasper Thomsen] *
1 [Lars Christensen] *
1 [Morten Toft Hansen] *
1 [Jesper Andreas Tilsted] *
1 [Lars Christensen (4)] *
1 [Lars Vognstrup] *
1 [The Haarp Machine] *
1 [Craig Reynolds] *
1 [Dan Thornton]
)
= 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)
Dominant nodes (excluded from chart)Raunchy 40.91%Intervals 32.32%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)