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, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 196 [Juicy Lucy] *
64 [Neil Hubbard] *
25 [Keith Ellis] *
49 [Bernie Marsden] *
4 [Mike Deacon] *
9 [Chris Mercer] *
9 [Rod Coombes] *
1 [Glenn Ross Campbell] *
1 [Jean Roussel] *
1 [Micky Moody] *
4 [Paul Williams (10)] *
1 [Peter Dobson] *
1 [Ray Owen] *
4 [Ron Berg] *
144 [Noel Redding] *
36 [Fat Mattress] *
4 [Neil Landon] *
4 [Steve Hammond (2)] *
1 [Eric Dillon] *
25 [Martin Barre]
)
= 6.61 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Juicy Lucy] *
1 [Neil Hubbard] *
1 [Keith Ellis] *
1 [Bernie Marsden] *
1 [Mike Deacon] *
1 [Chris Mercer] *
1 [Rod Coombes] *
1 [Glenn Ross Campbell] *
1 [Jean Roussel] *
1 [Micky Moody] *
1 [Paul Williams (10)] *
1 [Peter Dobson] *
1 [Ray Owen] *
1 [Ron Berg] *
1 [Noel Redding] *
1 [Fat Mattress] *
1 [Neil Landon] *
1 [Steve Hammond (2)] *
1 [Eric Dillon] *
1 [Martin Barre]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.68%
(6.61 × 1017 overall)
Dominant nodes (excluded from chart)Juicy Lucy 33.39%Noel Redding 24.53%Neil Hubbard 10.90%Bernie Marsden 8.35%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)