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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 9 [Olivier Pinard] *
361 [Cryptopsy] *
4 [Kevin Weagle] *
1 [Chris Donaldson] *
16 [Flo Mounier] *
1 [Matt McGachy] *
49 [Daniel Mongrain] *
1 [Alex Auburn] *
1 [Christian Donaldson] *
1 [Dave Galea] *
1 [Jon Levasseur] *
1 [Konrad Rossa] *
1 [Maggy Durand] *
1 [Martin Fergusson] *
1 [Martin Lacroix] *
1 [Miguel Roy] *
1 [Mike DiSalvo] *
1 [Steve Thibault] *
1 [Youri Raymond] *
4 [Rage Nucléaire] *
1 [Alvater] *
4 [Necrosis (3)]
)
= 1.47B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Olivier Pinard] *
1 [Cryptopsy] *
1 [Kevin Weagle] *
1 [Chris Donaldson] *
1 [Flo Mounier] *
1 [Matt McGachy] *
1 [Daniel Mongrain] *
1 [Alex Auburn] *
1 [Christian Donaldson] *
1 [Dave Galea] *
1 [Jon Levasseur] *
1 [Konrad Rossa] *
1 [Maggy Durand] *
1 [Martin Fergusson] *
1 [Martin Lacroix] *
1 [Miguel Roy] *
1 [Mike DiSalvo] *
1 [Steve Thibault] *
1 [Youri Raymond] *
1 [Rage Nucléaire] *
1 [Alvater] *
1 [Necrosis (3)]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
22
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Cryptopsy 76.65%Daniel Mongrain 10.40%Flo Mounier 3.40%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)