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 [Ole Thomsen] *
342 [Frank Jakobsen] *
4 [Cutting Edge] *
9 [Joe Henderson Norwegian Quartet] *
4 [Dag Arnesen 13-tett] *
4 [Dag Arnesen Septett] *
1 [Dan Olweus Kvartett] *
9 [Ny Bris] *
1 [Rob Waring Trio] *
1 [Rune Klakegg Trio] *
4 [SAB Quartet] *
1 [Cocoon (9)] *
1 [Son Mu] *
4 [Tore Faye Jazz Quartet] *
1 [Danmarksplass Rock & Jazz] *
4 [Jan KÃ¥re Hystad Kvartett] *
4 [Søbstad/Arnesen Kvartett] *
4 [Søyr] *
1 [Trang Fødsel] *
1 [Bergen Blues Band] *
1 [The Gambian / Norwegian Friendship Orchestra]
)
= 145.24B
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.25 [Ole Thomsen] *
1.06 [Frank Jakobsen] *
1 [Cutting Edge] *
1 [Joe Henderson Norwegian Quartet] *
1 [Dag Arnesen 13-tett] *
1 [Dag Arnesen Septett] *
1 [Dan Olweus Kvartett] *
1 [Ny Bris] *
1 [Rob Waring Trio] *
1 [Rune Klakegg Trio] *
1 [SAB Quartet] *
1 [Cocoon (9)] *
1 [Son Mu] *
1 [Tore Faye Jazz Quartet] *
1 [Danmarksplass Rock & Jazz] *
1 [Jan KÃ¥re Hystad Kvartett] *
1 [Søbstad/Arnesen Kvartett] *
1 [Søyr] *
1 [Trang Fødsel] *
1 [Bergen Blues Band] *
1 [The Gambian / Norwegian Friendship Orchestra]
)
= 1.32
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)
Dominant nodes (excluded from chart)Frank Jakobsen 80.47%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)