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 *
( 1 [Jeremy ALSOP] *
16 [Mark Kennedy] *
361 [Men at Work] *
1 [Ron Strykert] *
25 [Colin Hay] *
1 [John Rees] *
4 [Jerry Speiser] *
4 [Greg Ham] *
9 [Rick Grossman] *
1 [Colin Bayley] *
1 [Heta Moses] *
1 [John Rees (2)] *
1 [Paul Williamson] *
16 [Peter Maslen] *
1 [Rodrigo Aravena] *
1 [Simon Hosford] *
1 [Steve Hadley] *
1 [Stuart Speed (2)] *
1 [Tony Floyd]
)
= 332.7M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Jeremy ALSOP] *
1 [Mark Kennedy] *
1 [Men at Work] *
1 [Ron Strykert] *
1 [Colin Hay] *
1 [John Rees] *
1 [Jerry Speiser] *
1 [Greg Ham] *
1 [Rick Grossman] *
1 [Colin Bayley] *
1 [Heta Moses] *
1 [John Rees (2)] *
1 [Paul Williamson] *
1 [Peter Maslen] *
1 [Rodrigo Aravena] *
1 [Simon Hosford] *
1 [Steve Hadley] *
1 [Stuart Speed (2)] *
1 [Tony Floyd]
)
= 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)Men at Work 80.58%Colin Hay 5.58%Mark Kennedy 3.57%Peter Maslen 3.57%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)