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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 144 [Microdisney] *
36 [Cathal Coughlan] *
4 [Dave Galvin] *
16 [Giordaí Ua Laoghaire] *
16 [mick lynch] *
1 [Rob McKahey] *
1 [Nick Montgomery] *
4 [Jon Fell] *
4 [James Compton] *
1 [Aisling Hayden] *
25 [Eileen Gogan] *
36 [Sean O'Hagan] *
100 [The High Llamas] *
9 [Rob Allum] *
1 [and Dominic Murcott] *
4 [John Fell] *
1 [Marcus Holdaway] *
1 [Pete Aves] *
1 [Dominic Murcott] *
1 [John Bennett (4)]
)
= 1.10 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Microdisney] *
1 [Cathal Coughlan] *
1 [Dave Galvin] *
1 [Giordaí Ua Laoghaire] *
1 [mick lynch] *
1 [Rob McKahey] *
1 [Nick Montgomery] *
1 [Jon Fell] *
1 [James Compton] *
1 [Aisling Hayden] *
1 [Eileen Gogan] *
1 [Sean O'Hagan] *
1 [The High Llamas] *
1 [Rob Allum] *
1 [and Dominic Murcott] *
1 [John Fell] *
1 [Marcus Holdaway] *
1 [Pete Aves] *
1 [Dominic Murcott] *
1 [John Bennett (4)]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
20
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.98%
(1.10 × 1015 overall)
Dominant nodes (excluded from chart)Microdisney 35.12%The High Llamas 24.39%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)