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 *
( 25 [Linus Roache] *
36 [Yorick van Wageningen] *
16 [Kate Ashfield] *
361 [Beyond Borders] *
4 [Noah Emmerich] *
4 [Clive Owen] *
4 [Angelina Jolie] *
1 [Aidan Pickering] *
1 [Iain Lee] *
1 [Isabelle Horler] *
1 [John Bourgeois] *
1 [John Gausden] *
1 [Jonathan Higgins] *
1 [Julian Casey] *
1 [Kalyane Tea] *
1 [Kate Trotter] *
4 [Teri Polo] *
1 [Norman Mikeal Berketa] *
4 [Timothy West]
)
= 5.32B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Linus Roache] *
1 [Yorick van Wageningen] *
1 [Kate Ashfield] *
1 [Beyond Borders] *
1 [Noah Emmerich] *
1 [Clive Owen] *
1 [Angelina Jolie] *
1 [Aidan Pickering] *
1 [Iain Lee] *
1 [Isabelle Horler] *
1 [John Bourgeois] *
1 [John Gausden] *
1 [Jonathan Higgins] *
1 [Julian Casey] *
1 [Kalyane Tea] *
1 [Kate Trotter] *
1 [Teri Polo] *
1 [Norman Mikeal Berketa] *
1 [Timothy West]
)
= 1
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)Beyond Borders 76.97%Yorick van Wageningen 7.68%Linus Roache 5.33%Kate Ashfield 3.41%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)