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 *
( 12 [Sterling K. Brown] *
380 [American Crime Story] *
9 [Darren Criss] *
25 [John Travolta] *
9 [Margo Martindale] *
25 [Edie Falco] *
16 [Kenneth Choi] *
25 [Bruce Greenwood] *
64 [Christian Clemenson] *
16 [Annaleigh Ashford] *
9 [Sarah Paulson] *
36 [Cuba Gooding Jr.] *
9 [Knox Gagnon] *
16 [Nathan Lane] *
9 [Susan Beaubian] *
4 [Beanie Feldstein] *
4 [Clive Owen] *
4 [Dale Godboldo] *
4 [Courtney B. Vance]
)
= 1.02 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Sterling K. Brown] *
1.05 [American Crime Story] *
1 [Darren Criss] *
1 [John Travolta] *
1 [Margo Martindale] *
1 [Edie Falco] *
1 [Kenneth Choi] *
1 [Bruce Greenwood] *
1 [Christian Clemenson] *
1 [Annaleigh Ashford] *
1 [Sarah Paulson] *
1 [Cuba Gooding Jr.] *
1 [Knox Gagnon] *
1 [Nathan Lane] *
1 [Susan Beaubian] *
1 [Beanie Feldstein] *
1 [Clive Owen] *
1 [Dale Godboldo] *
1 [Courtney B. Vance]
)
= 1.4
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)
0.15%
(1.02 × 1022 overall)
Dominant nodes (excluded from chart)American Crime Story 56.13%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)