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 *
( 64 [Gwyneth Paltrow] *
36 [Judi Dench] *
324 [Shakespeare in Love] *
81 [Tom Wilkinson] *
16 [Jill Baker] *
16 [Geoffrey Rush] *
16 [Antony Sher] *
1 [Bridget McConnell] *
16 [Colin Firth] *
16 [Georgie Glen] *
1 [Joseph Fiennes] *
16 [Martin Clunes] *
1 [Nicholas Boulton] *
1 [Patrick Barlow] *
1 [Sandra Reinton] *
4 [Steven Beard] *
16 [Tim McMullan] *
1 [Steven O'Donnell]
)
= 6.49 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Gwyneth Paltrow] *
1 [Judi Dench] *
1 [Shakespeare in Love] *
1 [Tom Wilkinson] *
1 [Jill Baker] *
1 [Geoffrey Rush] *
1 [Antony Sher] *
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 [Steven Beard] *
1 [Tim McMullan] *
1 [Steven O'Donnell]
)
= 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)
0.16%
(6.49 × 1016 overall)
Dominant nodes (excluded from chart)Shakespeare in Love 51.59%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)