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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 400 [The Swinging Blue Jeans] *
16 [Terry Sylvester] *
81 [Jim Rodford] *
4 [Mike Gregory] *
9 [Bruce McCaskill] *
4 [Colin Manley] *
4 [Garth Elliott] *
1 [Hedley Vick] *
9 [Les Braid] *
1 [Mick McCann] *
1 [Alan Lovell] *
4 [Jeff Bannister] *
1 [Alan Lovell (2)] *
1 [Graham Hollingworth] *
1 [Mike Pynn] *
1 [Norman Kuhlke] *
1 [Phil Thompson (18)] *
1 [Ralph Ellis] *
1 [Ray Ennis] *
1 [Tommy Hughes]
)
= 10.75B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [The Swinging Blue Jeans] *
1 [Terry Sylvester] *
1 [Jim Rodford] *
1 [Mike Gregory] *
1 [Bruce McCaskill] *
1 [Colin Manley] *
1 [Garth Elliott] *
1 [Hedley Vick] *
1 [Les Braid] *
1 [Mick McCann] *
1 [Alan Lovell] *
1 [Jeff Bannister] *
1 [Alan Lovell (2)] *
1 [Graham Hollingworth] *
1 [Mike Pynn] *
1 [Norman Kuhlke] *
1 [Phil Thompson (18)] *
1 [Ralph Ellis] *
1 [Ray Ennis] *
1 [Tommy Hughes]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Swinging Blue Jeans 73.66%Jim Rodford 14.92%Terry Sylvester 2.95%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)