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 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 6 [Christopher Malcolm] *
12 [James Cosmo] *
400 [Highlander] *
1 [Sheila Gish] *
9 [Emil Abossolo-Mbo] *
25 [Wendell Wright] *
36 [Celia Imrie] *
25 [Jon Polito] *
81 [Clancy Brown] *
4 [Alan North] *
25 [Peter Wingfield] *
1 [Alistair Findlay] *
1 [Billy Hartman] *
1 [Christopher Lambert] *
9 [Edward Wiley] *
1 [Hugh Quarshie] *
1 [James McKenna] *
1 [John Cassady] *
1 [Peter Diamond] *
4 [Roxanne Hart]
)
= 1.70 x 10^15
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.5 [Christopher Malcolm] *
1.33 [James Cosmo] *
1 [Highlander] *
1 [Sheila Gish] *
1 [Emil Abossolo-Mbo] *
1 [Wendell Wright] *
1 [Celia Imrie] *
1 [Jon Polito] *
1 [Clancy Brown] *
1 [Alan North] *
1 [Peter Wingfield] *
1 [Alistair Findlay] *
1 [Billy Hartman] *
1 [Christopher Lambert] *
1 [Edward Wiley] *
1 [Hugh Quarshie] *
1 [James McKenna] *
1 [John Cassady] *
1 [Peter Diamond] *
1 [Roxanne Hart]
)
= 2
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
20
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.16%
(1.70 × 1015 overall)
Dominant nodes (excluded from chart)Highlander 62.02%Clancy Brown 12.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)