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 *
( 4 [Laraine Newman] *
36 [Phil Hartman] *
121 [Arnold Schwarzenegger] *
16 [Sinbad] *
16 [Rita Wilson] *
361 [Jingle All the Way] *
16 [Jim Belushi] *
9 [Harvey Korman] *
16 [Paul Wight] *
4 [Nada Despotovich] *
25 [Martin Mull] *
9 [Robert Conrad] *
1 [Caroline Kaiser] *
1 [Daniel Riordan] *
1 [Jake Lloyd] *
1 [Justin Chapman] *
1 [Richard Moll] *
1 [Jeff L. Deist] *
1 [Ruth Afton Hjelmgren]
)
= 3.34 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Laraine Newman] *
1 [Phil Hartman] *
1 [Arnold Schwarzenegger] *
1 [Sinbad] *
1 [Rita Wilson] *
1 [Jingle All the Way] *
1 [Jim Belushi] *
1 [Harvey Korman] *
1 [Paul Wight] *
1 [Nada Despotovich] *
1 [Martin Mull] *
1 [Robert Conrad] *
1 [Caroline Kaiser] *
1 [Daniel Riordan] *
1 [Jake Lloyd] *
1 [Justin Chapman] *
1 [Richard Moll] *
1 [Jeff L. Deist] *
1 [Ruth Afton Hjelmgren]
)
= 1
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)
0.16%
(3.34 × 1015 overall)
Dominant nodes (excluded from chart)Jingle All the Way 56.32%Arnold Schwarzenegger 18.88%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)