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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 225 [Gorilla Biscuits] *
100 [Walter Schreifels] *
1 [Anthony Civarelli] *
1 [Arthur Meow Smilios] *
1 [Mark Hayworth] *
169 [Sammy Siegler] *
9 [Charlie Garriga] *
64 [John Porcelly] *
1 [Luke Abbey] *
1 [Alex Brown (3)] *
1 [Anthony Civorelli] *
1 [Arthur Smilios] *
1 [Eric Fink] *
1 [Ernie Parada] *
1 [John Porcell] *
49 [Unsound] *
16 [Apr 4 1992 Decline] *
1 [Tony Di Prima] *
4 [Jid] *
16 [Ian Flannon Taylor] *
1 [Britt Killen] *
1 [Brian Maloney (3)]
)
= 439.59T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gorilla Biscuits] *
1 [Walter Schreifels] *
1 [Anthony Civarelli] *
1 [Arthur Meow Smilios] *
1 [Mark Hayworth] *
1 [Sammy Siegler] *
1 [Charlie Garriga] *
1 [John Porcelly] *
1 [Luke Abbey] *
1 [Alex Brown (3)] *
1 [Anthony Civorelli] *
1 [Arthur Smilios] *
1 [Eric Fink] *
1 [Ernie Parada] *
1 [John Porcell] *
1 [Unsound] *
1 [Apr 4 1992 Decline] *
1 [Tony Di Prima] *
1 [Jid] *
1 [Ian Flannon Taylor] *
1 [Britt Killen] *
1 [Brian Maloney (3)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
22
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Gorilla Biscuits 33.63%Sammy Siegler 25.26%Walter Schreifels 14.95%John Porcelly 9.57%Unsound 7.32%Apr 4 1992 Decline 2.39%Ian Flannon Taylor 2.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)