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 17 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 9 *
( 2 [Sean Jenkins] *
324 [Fred Frith] *
16 [ART BEARS] *
25 [The Cassiber] *
400 [Chris Cutler] *
225 [Henry Cow] *
324 [Geoff Leigh] *
144 [Tim Hodgkinson] *
9 [Peter Blegvad] *
100 [John Greaves] *
4 [Anthony Moore] *
1 [Andrew Powell] *
1 [Annemarie Roelofs] *
4 [Georgie Born] *
169 [Lindsay Cooper] *
1 [Martin Ditcham] *
9 [Slapp Happy]
)
= 2.15 x 10^23
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 2 [Sean Jenkins] *
1 [Fred Frith] *
1 [ART BEARS] *
1 [The Cassiber] *
1 [Chris Cutler] *
1 [Henry Cow] *
1 [Geoff Leigh] *
1 [Tim Hodgkinson] *
1 [Peter Blegvad] *
1 [John Greaves] *
1 [Anthony Moore] *
1 [Andrew Powell] *
1 [Annemarie Roelofs] *
1 [Georgie Born] *
1 [Lindsay Cooper] *
1 [Martin Ditcham] *
1 [Slapp Happy]
)
= 2
Outbound
3
Tags on post
Inbound
3
Posts tagging this
Connections
17
Total nodes
Base Node Strength
9
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.51%
(2.15 × 1023 overall)
Dominant nodes (excluded from chart)Chris Cutler 22.64%Fred Frith 18.34%Geoff Leigh 18.34%Henry Cow 12.73%Lindsay Cooper 9.56%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)