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, 1) = 1
$outbound = max(1, 1) = 1
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 1 * 1 = 1
Base_Influence (IV) = $inbound / $outbound = 1 / 1 = 1
// 3. Exponential Network Values (accumulating 19 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 1 *
( 100 [Terry Woods] *
361 [Steeleye Span] *
25 [Gay Woods] *
121 [Martin Carthy] *
9 [Benji Kirkpatrick] *
1 [Andrew Sinclair (6)] *
1 [Jessie May Smart] *
4 [Julian Littman] *
4 [Ken Nicol] *
4 [Liam Genockey] *
25 [Maddy Prior] *
225 [Ashley Hutchings] *
4 [Pete Zorn] *
9 [Nigel Pegrum] *
1 [Peter Knight] *
1 [Rick Kemp] *
1 [Roger Carey] *
4 [Tim Harries] *
1 [Tim Hart]
)
= 5.09 x 10^16
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Terry Woods] *
1 [Steeleye Span] *
1 [Gay Woods] *
1 [Martin Carthy] *
1 [Benji Kirkpatrick] *
1 [Andrew Sinclair (6)] *
1 [Jessie May Smart] *
1 [Julian Littman] *
1 [Ken Nicol] *
1 [Liam Genockey] *
1 [Maddy Prior] *
1 [Ashley Hutchings] *
1 [Pete Zorn] *
1 [Nigel Pegrum] *
1 [Peter Knight] *
1 [Rick Kemp] *
1 [Roger Carey] *
1 [Tim Harries] *
1 [Tim Hart]
)
= 1
Outbound
1
Tags on post
Inbound
1
Posts tagging this
Connections
19
Total nodes
Base Node Strength
1
Base Node Influence
1
Strength Share (vs Direct Neighbours)
0.11%
(5.09 × 1016 overall)
Dominant nodes (excluded from chart)Steeleye Span 40.02%Ashley Hutchings 24.94%Martin Carthy 13.41%Terry Woods 11.09%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)