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 11 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 100 [Pop Will Eat Itself] *
16 [Jason Bowld] *
9 [Richard Townshend] *
36 [Graham Crabb] *
16 [Ian Hoxley] *
1 [Adam Mole] *
1 [Clint Mansell] *
1 [Davey Bennett] *
1 [Kerry Hammond] *
1 [Richard March] *
1 [Tim Muddiman & The Strange]
)
= 33.18M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Pop Will Eat Itself] *
1 [Jason Bowld] *
1 [Richard Townshend] *
1 [Graham Crabb] *
1 [Ian Hoxley] *
1 [Adam Mole] *
1 [Clint Mansell] *
1 [Davey Bennett] *
1 [Kerry Hammond] *
1 [Richard March] *
1 [Tim Muddiman & The Strange]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
11
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pop Will Eat Itself 53.48%Graham Crabb 19.25%Jason Bowld 8.56%Ian Hoxley 8.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)