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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 20 [Paul Brennan] *
256 [The Frames] *
100 [The Swell Season] *
36 [COLM MAC CON IOMAIRE] *
49 [Glen Hansard] *
16 [Joe Doyle] *
16 [Rob Bochnik] *
4 [Jake Clemons] *
9 [Markéta Irglová] *
81 [Claire Leadbitter] *
4 [Marja Gaynor] *
4 [Bertrand Galen] *
36 [Dave Hingerty] *
16 [Johnny Boyle] *
36 [Paul Noonan] *
49 [Frank Murray] *
4 [David Odlum] *
1 [Binzer] *
1 [John Carney (2)] *
4 [Paul Brennan (2)] *
1 [Noreen O'Donnell]
)
= 7.01 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Paul Brennan] *
1 [The Frames] *
1 [The Swell Season] *
1 [COLM MAC CON IOMAIRE] *
1 [Glen Hansard] *
1 [Joe Doyle] *
1 [Rob Bochnik] *
1 [Jake Clemons] *
1 [Markéta Irglová] *
1 [Claire Leadbitter] *
1 [Marja Gaynor] *
1 [Bertrand Galen] *
1 [Dave Hingerty] *
1 [Johnny Boyle] *
1 [Paul Noonan] *
1 [Frank Murray] *
1 [David Odlum] *
1 [Binzer] *
1 [John Carney (2)] *
1 [Paul Brennan (2)] *
1 [Noreen O'Donnell]
)
= 1.25
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.54%
(7.01 × 1023 overall)
Dominant nodes (excluded from chart)The Frames 34.27%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)