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 22 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 12 [Rebecca Romijn] *
42 [Halle Berry] *
110 [Ian McKellen] *
25 [James Marsden] *
25 [Ty Olsson] *
484 [X2] *
9 [Brian Cox] *
36 [Kelly Hu] *
25 [Aaron Stanford] *
9 [Alan Cumming] *
81 [Anna Paquin] *
25 [Bruce Davison] *
16 [Chiara Zanni] *
16 [Cotter Smith] *
16 [Famke Janssen] *
49 [Hugh Jackman] *
16 [Katie Stuart] *
49 [Patrick Stewart] *
36 [Shawn Ashmore] *
16 [Michael David Simms] *
16 [Daniel Cudmore] *
25 [Peter Wingfield]
)
= 8.98 x 10^31
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Rebecca Romijn] *
1.17 [Halle Berry] *
1.1 [Ian McKellen] *
1 [James Marsden] *
1 [Ty Olsson] *
1 [X2] *
1 [Brian Cox] *
1 [Kelly Hu] *
1 [Aaron Stanford] *
1 [Alan Cumming] *
1 [Anna Paquin] *
1 [Bruce Davison] *
1 [Chiara Zanni] *
1 [Cotter Smith] *
1 [Famke Janssen] *
1 [Hugh Jackman] *
1 [Katie Stuart] *
1 [Patrick Stewart] *
1 [Shawn Ashmore] *
1 [Michael David Simms] *
1 [Daniel Cudmore] *
1 [Peter Wingfield]
)
= 1.71
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
22
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.09%
(8.98 × 1031 overall)
Dominant nodes (excluded from chart)X2 42.49%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)