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 *
( 24 [James Corden] *
25 [Richard Ridings] *
9 [Trisha Goddard] *
361 [Fat Friends] *
1 [Alison Steadman] *
1 [Barrie Rutter] *
1 [Bill Rodgers] *
1 [David Harewood] *
1 [Gaynor Faye] *
1 [Janet Dibley] *
1 [Jonathan Ryland] *
1 [Josie Lawrence] *
1 [Kathryn Hunt] *
1 [Lisa Riley] *
1 [Lynda Baron] *
1 [Oliver Pickering] *
1 [Paul Warriner] *
1 [Rita May] *
1 [Ruth Jones]
)
= 1.95M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [James Corden] *
1 [Richard Ridings] *
1 [Trisha Goddard] *
1 [Fat Friends] *
1 [Alison Steadman] *
1 [Barrie Rutter] *
1 [Bill Rodgers] *
1 [David Harewood] *
1 [Gaynor Faye] *
1 [Janet Dibley] *
1 [Jonathan Ryland] *
1 [Josie Lawrence] *
1 [Kathryn Hunt] *
1 [Lisa Riley] *
1 [Lynda Baron] *
1 [Oliver Pickering] *
1 [Paul Warriner] *
1 [Rita May] *
1 [Ruth Jones]
)
= 1.5
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)
Dominant nodes (excluded from chart)Fat Friends 82.99%Richard Ridings 5.75%James Corden 5.52%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)