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 *
( 4 [Tim Conway] *
9 [Jordan Baker] *
16 [Kyle Sabihy] *
36 [Jan Hooks] *
9 [Richard Lewis] *
324 [Hiller and Diller] *
25 [Amy Aquino] *
25 [Allison Mack] *
16 [Bodhi Elfman] *
1 [Eugene Levy] *
1 [Faryn Einhorn] *
25 [Jeremy Foley] *
1 [Jill Bernard] *
9 [Jonathan Osser] *
16 [Kevin Nealon] *
1 [Michael Winters] *
16 [Nana Visitor] *
1 [Robert Curtis Brown]
)
= 3.48 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Tim Conway] *
1 [Jordan Baker] *
1 [Kyle Sabihy] *
1 [Jan Hooks] *
1 [Richard Lewis] *
1 [Hiller and Diller] *
1 [Amy Aquino] *
1 [Allison Mack] *
1 [Bodhi Elfman] *
1 [Eugene Levy] *
1 [Faryn Einhorn] *
1 [Jeremy Foley] *
1 [Jill Bernard] *
1 [Jonathan Osser] *
1 [Kevin Nealon] *
1 [Michael Winters] *
1 [Nana Visitor] *
1 [Robert Curtis Brown]
)
= 1
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)
0.19%
(3.48 × 1016 overall)
Dominant nodes (excluded from chart)Hiller and Diller 60.45%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)