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, 6) = 6
$outbound = max(1, 6) = 6
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 6 * 6 = 36
Base_Influence (IV) = $inbound / $outbound = 6 / 6 = 1
// 3. Exponential Network Values (accumulating 12 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 36 *
( 100 [Michael Giles] *
4 [Trendsetters Limited] *
225 [Mel Collins] *
9 [Ian McDonald] *
196 [Ian Wallace] *
9 [Jakko M. Jakszyk] *
36 [21st Century Schizoid Band] *
4 [McDonald & Giles] *
4 [The Brain (9)] *
4 [The Trend (3)] *
9 [Giles and Fripp] *
361 [Robert Fripp]
)
= 3.85 x 10^17
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Michael Giles] *
1 [Trendsetters Limited] *
1 [Mel Collins] *
1 [Ian McDonald] *
1 [Ian Wallace] *
1 [Jakko M. Jakszyk] *
1 [21st Century Schizoid Band] *
1 [McDonald & Giles] *
1 [The Brain (9)] *
1 [The Trend (3)] *
1 [Giles and Fripp] *
1 [Robert Fripp]
)
= 1
Outbound
6
Tags on post
Inbound
6
Posts tagging this
Connections
12
Total nodes
Base Node Strength
36
Base Node Influence
1
Strength Share (vs Direct Neighbours)
3.61%
(3.85 × 1017 overall)
Dominant nodes (excluded from chart)Robert Fripp 36.21%Mel Collins 22.57%Ian Wallace 19.66%Michael Giles 10.03%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)