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, 3) = 3
$outbound = max(1, 3) = 3
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 3 * 3 = 9
Base_Influence (IV) = $inbound / $outbound = 3 / 3 = 1
// 3. Exponential Network Values (accumulating 20 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 81 [Duff McKagan] *
81 [Fastbacks] *
36 [Rusty Willoughby] *
9 [Mike Musburger] *
4 [Nate Johnson] *
16 [Richard Stuverud] *
9 [Danny Zakos] *
1 [Kim Warnick] *
1 [Lulu Gargiulo] *
441 [Krist Novoselic] *
324 [Peter Buck] *
256 [Bill Rieflin] *
49 [Corin Tucker] *
121 [Scott McCaughey] *
49 [Filthy Friends] *
9 [Linda Pitmon] *
16 [Young Fresh Fellows] *
1 [Chuck Carroll] *
4 [Jim Sangster] *
1 [Tad Hutchison]
)
= 6.75 x 10^25
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Duff McKagan] *
1 [Fastbacks] *
1 [Rusty Willoughby] *
1 [Mike Musburger] *
1 [Nate Johnson] *
1 [Richard Stuverud] *
1 [Danny Zakos] *
1 [Kim Warnick] *
1 [Lulu Gargiulo] *
1 [Krist Novoselic] *
1 [Peter Buck] *
1 [Bill Rieflin] *
1 [Corin Tucker] *
1 [Scott McCaughey] *
1 [Filthy Friends] *
1 [Linda Pitmon] *
1 [Young Fresh Fellows] *
1 [Chuck Carroll] *
1 [Jim Sangster] *
1 [Tad Hutchison]
)
= 1
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
20
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.59%
(6.75 × 1025 overall)
Dominant nodes (excluded from chart)Krist Novoselic 29.05%Peter Buck 21.34%Bill Rieflin 16.86%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)