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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Karan Soni] *
1 [Jeff Garlin] *
9 [Mary Lynn Rajskub] *
64 [Aubrey Plaza] *
324 [Safety Not Guaranteed] *
1 [Alice Hung] *
1 [Basil Harris] *
1 [David Leo] *
1 [Eli Borozan] *
9 [Jake Johnson] *
16 [Jenica Bergere] *
1 [Keli Schurman-Darby] *
1 [Lauren Carlos] *
25 [Lynn Shelton] *
36 [Mark Duplass] *
1 [Peter Anthony Jacobs] *
1 [Tom Ricciardelli] *
25 [William Hall Jr.]
)
= 12.09T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Karan Soni] *
1 [Jeff Garlin] *
1 [Mary Lynn Rajskub] *
1 [Aubrey Plaza] *
1 [Safety Not Guaranteed] *
1 [Alice Hung] *
1 [Basil Harris] *
1 [David Leo] *
1 [Eli Borozan] *
1 [Jake Johnson] *
1 [Jenica Bergere] *
1 [Keli Schurman-Darby] *
1 [Lauren Carlos] *
1 [Lynn Shelton] *
1 [Mark Duplass] *
1 [Peter Anthony Jacobs] *
1 [Tom Ricciardelli] *
1 [William Hall Jr.]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Safety Not Guaranteed 60.22%Aubrey Plaza 11.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)