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 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 441 [Yes] *
400 [Alan White] *
81 [Chris Squire] *
36 [Rick Wakeman] *
1 [English Rock Ensemble] *
49 [Trevor Rabin] *
81 [Eddie Jobson] *
9 [Tony Kaye] *
169 [Trevor Horn] *
16 [Peter Banks] *
25 [Patrick Moraz] *
9 [Jon Davison] *
1 [Igor Khoroshev] *
144 [Geoff Downes] *
144 [Billy Sherwood] *
4 [Benoît David] *
4 [Jay Schellen] *
9 [Tom Brislin] *
1 [Plaques to Yes] *
4 [Roger Dean] *
1 [YES in Hawaii 2003-09-27]
)
= 1.34 x 10^26
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Yes] *
1 [Alan White] *
1 [Chris Squire] *
1 [Rick Wakeman] *
1 [English Rock Ensemble] *
1 [Trevor Rabin] *
1 [Eddie Jobson] *
1 [Tony Kaye] *
1 [Trevor Horn] *
1 [Peter Banks] *
1 [Patrick Moraz] *
1 [Jon Davison] *
1 [Igor Khoroshev] *
1 [Geoff Downes] *
1 [Billy Sherwood] *
1 [Benoît David] *
1 [Jay Schellen] *
1 [Tom Brislin] *
1 [Plaques to Yes] *
1 [Roger Dean] *
1 [YES in Hawaii 2003-09-27]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
21
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.06%
(1.34 × 1026 overall)
Dominant nodes (excluded from chart)Yes 27.06%Alan White 24.54%Trevor Horn 10.37%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
