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 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 4 [Lisa Hannigan] *
36 [COLM MAC CON IOMAIRE] *
49 [Glen Hansard] *
9 [Damien Rice] *
25 [Gemma Hayes] *
225 [Graham Hopkins] *
16 [Ollie Cole] *
324 [The Cake Sale] *
16 [Rob Bochnik] *
16 [Conor Deasy] *
25 [David Geraghty] *
16 [Emm Gryner] *
25 [Gary Lightbody] *
36 [Neil Hannon] *
4 [Nick Seymour] *
9 [Nina Persson] *
36 [Paul Noonan] *
9 [Brian Crosby]
)
= 1.99 x 10^24
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Lisa Hannigan] *
1 [COLM MAC CON IOMAIRE] *
1 [Glen Hansard] *
1 [Damien Rice] *
1 [Gemma Hayes] *
1 [Graham Hopkins] *
1 [Ollie Cole] *
1 [The Cake Sale] *
1 [Rob Bochnik] *
1 [Conor Deasy] *
1 [David Geraghty] *
1 [Emm Gryner] *
1 [Gary Lightbody] *
1 [Neil Hannon] *
1 [Nick Seymour] *
1 [Nina Persson] *
1 [Paul Noonan] *
1 [Brian Crosby]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
18
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(1.99 × 1024 overall)
Dominant nodes (excluded from chart)The Cake Sale 36.78%Graham Hopkins 25.54%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)