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 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 4 [Steve Augeri] *
81 [Tyketto] *
1 [Ged Rylands] *
64 [Danny Vaughn] *
1 [Jimi Kennedy] *
1 [Michael Clayton Arbeeny] *
4 [Chris Childs] *
1 [chris-green-14] *
1 [jaimie-scott] *
100 [Lionsheart] *
4 [Nick Burr] *
1 [Anthony Christmas] *
1 [Eddie Marsh] *
1 [Graham Collett] *
1 [Mark Owers] *
1 [Mike O'Brien (17)] *
1 [Steve Hales] *
1 [Steve Owers] *
1 [Zak Bajjon]
)
= 132.71M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Steve Augeri] *
1 [Tyketto] *
1 [Ged Rylands] *
1 [Danny Vaughn] *
1 [Jimi Kennedy] *
1 [Michael Clayton Arbeeny] *
1 [Chris Childs] *
1 [chris-green-14] *
1 [jaimie-scott] *
1 [Lionsheart] *
1 [Nick Burr] *
1 [Anthony Christmas] *
1 [Eddie Marsh] *
1 [Graham Collett] *
1 [Mark Owers] *
1 [Mike O'Brien (17)] *
1 [Steve Hales] *
1 [Steve Owers] *
1 [Zak Bajjon]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
19
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Lionsheart 36.50%Tyketto 29.56%Danny Vaughn 23.36%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)