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 16 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 72 [The Postal Service] *
16 [Jens Lekman] *
4 [Regina Spektor] *
100 [The Concretes] *
100 [Belle and Sebastian] *
144 [The Magnetic Fields] *
4 [Victoria Bergsman] *
1 [Dante Kinnunen] *
4 [Lisa Milberg] *
1 [Ludvig Rylander] *
1 [Maria Eriksson] *
1 [Martin Hansson] *
1 [Ulrik Karlsson] *
1 [Daniel Värjö] *
1 [Per Nyström] *
25 [Jillette Johnson]
)
= 23.89T
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1.13 [The Postal Service] *
1 [Jens Lekman] *
1 [Regina Spektor] *
1 [The Concretes] *
1 [Belle and Sebastian] *
1 [The Magnetic Fields] *
1 [Victoria Bergsman] *
1 [Dante Kinnunen] *
1 [Lisa Milberg] *
1 [Ludvig Rylander] *
1 [Maria Eriksson] *
1 [Martin Hansson] *
1 [Ulrik Karlsson] *
1 [Daniel Värjö] *
1 [Per Nyström] *
1 [Jillette Johnson]
)
= 1.13
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
16
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)The Magnetic Fields 29.69%The Concretes 20.62%Belle and Sebastian 20.62%The Postal Service 14.85%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)