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 13 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 169 [James Gately] *
361 [Hutch Crime Family] *
1 [Caolan Smyth] *
1 [Charlene Lam] *
1 [Criminal Assets Bureau (CAB)] *
1 [Gary McAreavey] *
1 [Hutch organised crime gang] *
1 [Imre Arakas] *
1 [Peter Keating] *
1 [Stephen Fowler] *
1 [David 'Blinky' Duffy] *
1 [Eamon 'The Don' Dunne] *
4 [James "Mago" Gately]
)
= 244K
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [James Gately] *
1 [Hutch Crime Family] *
1 [Caolan Smyth] *
1 [Charlene Lam] *
1 [Criminal Assets Bureau (CAB)] *
1 [Gary McAreavey] *
1 [Hutch organised crime gang] *
1 [Imre Arakas] *
1 [Peter Keating] *
1 [Stephen Fowler] *
1 [David 'Blinky' Duffy] *
1 [Eamon 'The Don' Dunne] *
1 [James "Mago" Gately]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
13
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Hutch Crime Family 66.24%James Gately 31.01%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)