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, 9) = 9
$outbound = max(1, 9) = 9
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 9 * 9 = 81
Base_Influence (IV) = $inbound / $outbound = 9 / 9 = 1
// 3. Exponential Network Values (accumulating 18 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 81 *
( 16 [Savina Yannatou] *
121 [Nils Petter Molvaer] *
16 [Arild Andersen Group] *
361 [Arild Andersen] *
121 [Jon Balke] *
9 [Miki N'Doye Orchestra] *
25 [Jens Petter Antonsen] *
196 [Jon Eberson] *
9 [Jon Eberson Stash] *
16 [Bjà ̧rn Kjellemyr] *
1 [Ab Und Zu] *
1 [Bang 85] *
9 [Heavy Gentlemen (2)] *
1 [Jonas Fjeld Band] *
1 [Per Mathisen Trio] *
1 [Helge Iberg's Jazz Kammer] *
64 [Knut Reiersrud] *
64 [Carsten Loly]
)
= 2.57 x 10^22
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Savina Yannatou] *
1 [Nils Petter Molvaer] *
1 [Arild Andersen Group] *
1 [Arild Andersen] *
1 [Jon Balke] *
1 [Miki N'Doye Orchestra] *
1 [Jens Petter Antonsen] *
1 [Jon Eberson] *
1 [Jon Eberson Stash] *
1 [Bjà ̧rn Kjellemyr] *
1 [Ab Und Zu] *
1 [Bang 85] *
1 [Heavy Gentlemen (2)] *
1 [Jonas Fjeld Band] *
1 [Per Mathisen Trio] *
1 [Helge Iberg's Jazz Kammer] *
1 [Knut Reiersrud] *
1 [Carsten Loly]
)
= 1
Outbound
9
Tags on post
Inbound
9
Posts tagging this
Connections
18
Total nodes
Base Node Strength
81
Base Node Influence
1
Strength Share (vs Direct Neighbours)
7.28%
(2.57 × 1022 overall)
Dominant nodes (excluded from chart)Arild Andersen 32.43%Jon Eberson 17.61%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
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Connection Health Audit (Red = broken 1-way link)
