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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 20 [Charlotte Rampling] *
64 [Dominic Cooper] *
36 [Hayley Atwell] *
121 [Ralph Fiennes] *
36 [Keira Knightley] *
289 [The Duchess] *
25 [Simon McBurney] *
4 [Alistair Petrie] *
4 [Patrick Godfrey] *
1 [Aidan McArdle] *
1 [Andrew Armour] *
1 [Bruce Mackinnon] *
1 [Calvin Dean] *
1 [Hannah Stokely] *
1 [John Shrapnel] *
1 [Michael Medwin] *
1 [Richard McCabe]
)
= 23.2T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Charlotte Rampling] *
1 [Dominic Cooper] *
1 [Hayley Atwell] *
1 [Ralph Fiennes] *
1 [Keira Knightley] *
1 [The Duchess] *
1 [Simon McBurney] *
1 [Alistair Petrie] *
1 [Patrick Godfrey] *
1 [Aidan McArdle] *
1 [Andrew Armour] *
1 [Bruce Mackinnon] *
1 [Calvin Dean] *
1 [Hannah Stokely] *
1 [John Shrapnel] *
1 [Michael Medwin] *
1 [Richard McCabe]
)
= 1.25
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
17
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Duchess 47.53%Ralph Fiennes 19.90%Dominic Cooper 10.53%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)