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 *
( 81 [Long John Baldry] *
361 [Bluesology] *
1 [Stewart "Stu" Brown] *
1 [Rex Bishop] *
4 [Pete Gavin] *
1 [Paul Gale] *
1 [Pat Higgs] *
64 [Neil Hubbard] *
1 [Mick Inkpen] *
361 [Marc Charig] *
1 [Jimmy Horowitz] *
1 [Jim Wheeler] *
1 [Geoff Dyson] *
16 [Fred Gandy [AKA Freddie Creasey]] *
361 [Elton Dean] *
36 [Caleb Quaye] *
9 [Bernie Holland] *
4 [Fred Gandy] *
1 [Stuart Brown (7)]
)
= 2.02 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Long John Baldry] *
1 [Bluesology] *
1 [Stewart "Stu" Brown] *
1 [Rex Bishop] *
1 [Pete Gavin] *
1 [Paul Gale] *
1 [Pat Higgs] *
1 [Neil Hubbard] *
1 [Mick Inkpen] *
1 [Marc Charig] *
1 [Jimmy Horowitz] *
1 [Jim Wheeler] *
1 [Geoff Dyson] *
1 [Fred Gandy [AKA Freddie Creasey]] *
1 [Elton Dean] *
1 [Caleb Quaye] *
1 [Bernie Holland] *
1 [Fred Gandy] *
1 [Stuart Brown (7)]
)
= 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)
0.08%
(2.02 × 1016 overall)
Dominant nodes (excluded from chart)Bluesology 27.62%Marc Charig 27.62%Elton Dean 27.62%Long John Baldry 6.20%Neil Hubbard 4.90%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)