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, 4) = 4
$outbound = max(1, 4) = 4
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 4 * 4 = 16
Base_Influence (IV) = $inbound / $outbound = 4 / 4 = 1
// 3. Exponential Network Values (accumulating 25 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 16 *
( 12 [Art Malik] *
64 [Gwyneth Paltrow] *
36 [Judi Dench] *
324 [Shakespeare in Love] *
81 [Tom Wilkinson] *
16 [Jill Baker] *
16 [Geoffrey Rush] *
1 [Bridget McConnell] *
16 [Colin Firth] *
16 [Georgie Glen] *
1 [Joseph Fiennes] *
16 [Martin Clunes] *
1 [Nicholas Boulton] *
1 [Patrick Barlow] *
1 [Sandra Reinton] *
1 [Simon Callow] *
4 [Steven Beard] *
16 [Tim McMullan] *
1 [Steven O'Donnell] *
16 [The Wolfman] *
1 [Erik the Viking] *
4 [Mrs. Brown] *
25 [Sara Stewart] *
16 [Rick Baker] *
25 [Clive Russell]
)
= 4.99 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.33 [Art Malik] *
1 [Gwyneth Paltrow] *
1 [Judi Dench] *
1 [Shakespeare in Love] *
1 [Tom Wilkinson] *
1 [Jill Baker] *
1 [Geoffrey Rush] *
1 [Bridget McConnell] *
1 [Colin Firth] *
1 [Georgie Glen] *
1 [Joseph Fiennes] *
1 [Martin Clunes] *
1 [Nicholas Boulton] *
1 [Patrick Barlow] *
1 [Sandra Reinton] *
1 [Simon Callow] *
1 [Steven Beard] *
1 [Tim McMullan] *
1 [Steven O'Donnell] *
1 [The Wolfman] *
1 [Erik the Viking] *
1 [Mrs. Brown] *
1 [Sara Stewart] *
1 [Rick Baker] *
1 [Clive Russell]
)
= 1.33
Outbound
4
Tags on post
Inbound
4
Posts tagging this
Connections
25
Total nodes
Base Node Strength
16
Base Node Influence
1
Strength Share (vs Direct Neighbours)
2.20%
(4.99 × 1023 overall)
Dominant nodes (excluded from chart)Shakespeare in Love 44.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)