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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 30 [John Ratzenberger] *
30 [Nathan Fillion] *
90 [John Goodman] *
1 [Sean Hayes] *
36 [Billy Crystal] *
9 [John Krasinski] *
289 [Steve Buscemi] *
64 [Aubrey Plaza] *
16 [Tyler Labine] *
64 [Alfred Molina] *
16 [Peter Sohn] *
361 [Monsters University] *
16 [Charlie Day] *
16 [Joel Murray] *
16 [Bonnie Hunt] *
9 [Helen Mirren] *
1 [David Foley] *
1 [Julia Sweeney] *
1 [Noah Johnston]
)
= 1.06 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.2 [John Ratzenberger] *
1.2 [Nathan Fillion] *
1.11 [John Goodman] *
1 [Sean Hayes] *
1 [Billy Crystal] *
1 [John Krasinski] *
1 [Steve Buscemi] *
1 [Aubrey Plaza] *
1 [Tyler Labine] *
1 [Alfred Molina] *
1 [Peter Sohn] *
1 [Monsters University] *
1 [Charlie Day] *
1 [Joel Murray] *
1 [Bonnie Hunt] *
1 [Helen Mirren] *
1 [David Foley] *
1 [Julia Sweeney] *
1 [Noah Johnston]
)
= 1.6
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(1.06 × 1023 overall)
Dominant nodes (excluded from chart)Monsters University 33.83%Steve Buscemi 27.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
